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Dr. Eduardo Vega-Alvarado
Instituto Politécnico Nacional - Centro de Innovación y Desarrollo Tecnológico en Cómputo

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Research Keywords & Expertise

0 Algorithm Development
0 Programming
0 optimization algorithm
0 metaheuristic algorithms
0 Mechatronic system design

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metaheuristic algorithms
Programming
optimization algorithm

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Short Biography

Eduardo Vega-Alvarado was born in México City, México, in 1965. He received his B.Sc. degree in Communications and Electronics Engineering from the Escuela Superior de Ingeniería Mecánica y Eléctrica (Mexico, 1992), a M.Sc. degree on Digital Systems from the Centro de Investigación Tecnológica en Computación (Mexico, 1996), and a Ph.D. degree on Computational and Electronic Systems from the Universidad Autónoma de Tlaxcala (Mexico, 2017). He is a full time researcher and professor in the Centro de Innovación y Desarrollo Tecnológico en Cómputo of the Instituto Politécnico Nacional, in Mexico City. His areas of interest include programming and analysis of algorithms, optimization with metaheuristics, the development of hybrid algorithms, and its application on engineering problems.

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Journal article
Published: 17 February 2021 in Applied Sciences
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This paper presents the development of a wrist rehabilitation system with a novel approach for structural design, based on the modeling of an optimization problem solved by a metaheuristic algorithm, Improved Harmony Search (ImHS). It is part of a project for developing low-cost rehabilitation systems expressly designed for the population of Latin American countries. A mixed optimization problem is modeled for the design, where the material type is associated with an integer variable and the dimensions of the components are continuous parameters. The novelty is that each element is calculated individually, but considering the combined effect over the structure. The optimization works simultaneously on both the material selection and the meeting of the associated constraints, to guarantee that the system will not fail because of any load, neither it will be unsafe for the patients, since the operation will always be within the limits considered in the modeling. ImHS is a variant of the Harmony Search algorithm, modified to enhance the exploration and exploitation processes. It is a simple yet powerful metaheuristic, implemented in this development with additional modifications to handle constraints and mixed variables. The proposed approach produced quality results, indicating that ImHS can be applied to solve complex engineering problems, facilitating the manufacture and control processes.

ACS Style

Eduardo Vega-Alvarado; Valentín Vázquez-Castillo; Edgar Portilla-Flores; Maria Calva-Yañez; Gabriel Sepúlveda-Cervantes. Design of a Wrist Rehabilitation System with a Novel Mixed Structural Optimization Applying Improved Harmony Search. Applied Sciences 2021, 11, 1766 .

AMA Style

Eduardo Vega-Alvarado, Valentín Vázquez-Castillo, Edgar Portilla-Flores, Maria Calva-Yañez, Gabriel Sepúlveda-Cervantes. Design of a Wrist Rehabilitation System with a Novel Mixed Structural Optimization Applying Improved Harmony Search. Applied Sciences. 2021; 11 (4):1766.

Chicago/Turabian Style

Eduardo Vega-Alvarado; Valentín Vázquez-Castillo; Edgar Portilla-Flores; Maria Calva-Yañez; Gabriel Sepúlveda-Cervantes. 2021. "Design of a Wrist Rehabilitation System with a Novel Mixed Structural Optimization Applying Improved Harmony Search." Applied Sciences 11, no. 4: 1766.

Journal article
Published: 04 December 2020 in IEEE Access
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In this work, a novel symmetric cryptosystem for image encryption is presented. The Symmetric Cryptosystem of the Elliptic Curve (SCEC) can resist damage to encrypted figures, up to 40% of the original figure. SCEC uses chaos to generate an 8 × 8 S-box with high nonlinearity to avoid the linear attack. A random permutation is used before starting encryption, making the cryptosystem more robust. For testing, damage according to four types of noise was applied to the encrypted images: additive, multiplicative, Gaussian, or occlusion. The median filter was applied to correct the damage in encrypted images, improving its sharpness, and a new measure, the Similarity Parameter (SP), is proposed to evaluate the difference between the original image and the decrypted image with damage. Several parameters and tests were applied to evaluate the performance of SCEC, from the encryption quality to the resistance to the differential attack. Experimental results indicate that SCEC has high-quality cryptographic properties, very much similar to the corresponding values of AES but with the addition of a high protection to noise damage on the encrypted images.

ACS Style

Victor Manuel Silva-Garcia; Rolando Flores-Carapia; Marlon David Gonzalez-Ramirez; Eduardo Vega-Alvarado; Miguel Gabriel Villarreal-Cervantes. Cryptosystem Based on the Elliptic Curve With a High Degree of Resistance to Damage on the Encrypted Images. IEEE Access 2020, 8, 218777 -218792.

AMA Style

Victor Manuel Silva-Garcia, Rolando Flores-Carapia, Marlon David Gonzalez-Ramirez, Eduardo Vega-Alvarado, Miguel Gabriel Villarreal-Cervantes. Cryptosystem Based on the Elliptic Curve With a High Degree of Resistance to Damage on the Encrypted Images. IEEE Access. 2020; 8 (99):218777-218792.

Chicago/Turabian Style

Victor Manuel Silva-Garcia; Rolando Flores-Carapia; Marlon David Gonzalez-Ramirez; Eduardo Vega-Alvarado; Miguel Gabriel Villarreal-Cervantes. 2020. "Cryptosystem Based on the Elliptic Curve With a High Degree of Resistance to Damage on the Encrypted Images." IEEE Access 8, no. 99: 218777-218792.

Journal article
Published: 12 August 2020 in IEEE Access
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There are problems that are difficult to solve through mathematical programming or by classical methods. These problems are called hard problems due to their high complexity or high dimension. On the other hand, mataheuristics intends to seek a better solution to a problem. The Improvement Harmony Search algorithm is proposed under modification of the bandwidth parameter increasing the quality of the exploitation of the solutions. That is why within the state of the art, are mentioned several versions of harmonic search. The state of the art is supports the fact that the algorithm belongs to the category of those who make modifications to its parameters. This research demonstrates the ability of ImHS to solve a problem of high complexity focused on solving four-bar mechanism designs, whose solutions imply high dimension and which are also classified as hard problems. The two problems that are solved in this investigation, are problems very attacked within the state of the art by various metaheuristics. A comparison is then made against previous solutions with traditional metaheuristics and other versions of harmony search algorithm. Finally, the effectiveness of performance is demonstrated, where proposed algorithm it exceeded five metaheuristic algorithms and five harmony search versions. An optimum is provided in an easy and useful way, the parametric statistics are improved and the number of feasible solutions is exceeded in NP-hard problems as in the case of problems with four-bar mechanisms.

ACS Style

Leticia Flores-Pulido; Edgar Alfredo Portilla-Flores; Eric Santiago-Valentin; Eduardo Vega-Alvarado; Maria Barbara Calva Yanez; Paola Andrea Nino-Suarez. A Comparative Study of Improved Harmony Search Algorithm in Four Bar Mechanisms. IEEE Access 2020, 8, 148757 -148778.

AMA Style

Leticia Flores-Pulido, Edgar Alfredo Portilla-Flores, Eric Santiago-Valentin, Eduardo Vega-Alvarado, Maria Barbara Calva Yanez, Paola Andrea Nino-Suarez. A Comparative Study of Improved Harmony Search Algorithm in Four Bar Mechanisms. IEEE Access. 2020; 8 (99):148757-148778.

Chicago/Turabian Style

Leticia Flores-Pulido; Edgar Alfredo Portilla-Flores; Eric Santiago-Valentin; Eduardo Vega-Alvarado; Maria Barbara Calva Yanez; Paola Andrea Nino-Suarez. 2020. "A Comparative Study of Improved Harmony Search Algorithm in Four Bar Mechanisms." IEEE Access 8, no. 99: 148757-148778.

Journal article
Published: 20 May 2020 in Applied Sciences
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This work presents a new methodology for designing input and output filters to be applied in a three-phase matrix converter, with an optimization problem solved by a metaheuristic algorithm. The algorithm determines the optimal values of the passive elements of the filters, taking as the fundamental performance criterion the response in magnitude. It is based on the resonant frequency, in order to eliminate the harmonics in the input currents and the output voltages produced by the bidirectional switching and disturbances in the power supply. These filters are implemented in a direct matrix converter using a Venturini-type modulation in open loop configuration. Other developments for this filter design have been carried out, but most of them were based on the conventional procedure of determining a random value for some element and then finding the magnitude of the remaining elements. That approach does not ensure the best dynamic filter response. The proposed design technique requires no initial elements, since all values are calculated by the metaheuristic algorithm.

ACS Style

Joel Muñoz-Castillo; Germán Ardul Muñoz-Hernández; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Bárbara Calva-Yáñez; Gerardo Mino-Aguilar; Paola Andrea Niño-Suarez. Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques. Applied Sciences 2020, 10, 3524 .

AMA Style

Joel Muñoz-Castillo, Germán Ardul Muñoz-Hernández, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Maria Bárbara Calva-Yáñez, Gerardo Mino-Aguilar, Paola Andrea Niño-Suarez. Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques. Applied Sciences. 2020; 10 (10):3524.

Chicago/Turabian Style

Joel Muñoz-Castillo; Germán Ardul Muñoz-Hernández; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Bárbara Calva-Yáñez; Gerardo Mino-Aguilar; Paola Andrea Niño-Suarez. 2020. "Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques." Applied Sciences 10, no. 10: 3524.

Journal article
Published: 06 November 2019 in IEEE Access
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In this paper, a method for image encryption is proposed based on a novel approach using chaos and transcendental numbers for generating the substitution box and the ciphering keys. The Chaotic Pi Ciphering (CPC) is a robust symmetric cryptosystem of the substitution-permutation-network type, that ciphers images in ten rounds. The objective of CPC is to avoid some general weakness points in cryptosystems, such as the vulnerability to certain types of attacks or the encryption with data loss. The number of rounds can be increased up to 14, with an even further increment of the ciphering security. An 8 × 8 substitution box is constructed using chaos, and its value of the Differential Power Analysis is lower than the corresponding to the Advanced Encryption Standard (AES). It makes CPC more resistant to differential and linear attacks than AES. CPC has approximately 2512 keys, presenting a high resistance to brute-force attacks. Chaos is produced by a nonlinear differential equation, and the Walsh function is applied to measure the nonlinearity of the box. The transcendental number pi and a positive integer are employed to generate the schedule keys, and the key length is equal to the image size. The randomness of the encrypted images is evaluated with four tests: entropy, correlation, Discrete Fourier Transform, and a goodness-of-fit test using the chi square distribution χ2. CPC was tested using well-known images from the related literature, and its performance was compared to the corresponding to AES. The results show a good entropy and a high randomness, indicating a high-quality ciphering.

ACS Style

Victor Manuel Silva Garcia; Marlon David Gonzalez Ramirez; Rolando Flores Carapia; Eduardo Vega-Alvarado; Eduardo Rodriguez Escobar. A Novel Method for Image Encryption Based on Chaos and Transcendental Numbers. IEEE Access 2019, 7, 163729 -163739.

AMA Style

Victor Manuel Silva Garcia, Marlon David Gonzalez Ramirez, Rolando Flores Carapia, Eduardo Vega-Alvarado, Eduardo Rodriguez Escobar. A Novel Method for Image Encryption Based on Chaos and Transcendental Numbers. IEEE Access. 2019; 7 (99):163729-163739.

Chicago/Turabian Style

Victor Manuel Silva Garcia; Marlon David Gonzalez Ramirez; Rolando Flores Carapia; Eduardo Vega-Alvarado; Eduardo Rodriguez Escobar. 2019. "A Novel Method for Image Encryption Based on Chaos and Transcendental Numbers." IEEE Access 7, no. 99: 163729-163739.

Conference paper
Published: 01 September 2019 in 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
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In this work, a novel variant of the Harmony Search algorithm called Synthesized Harmony Search is presented. It is based on the application of a synthesizer to the process of music composition simulated in the original Harmony Search. Additionally, constraints are handled by integrating the rules of Deb to the algorithm. The effect of the synthesizer over the performance is evaluated with a well-known benchmark of constrained numerical optimization problems. The proposed algorithm was compared to the original Harmony Search and one of its previously developed variants, HS_Mod2, with a statistical analysis using the best solution obtained per each algorithm in thirty independent executions. In general, the solutions generated by the Synthesized Harmony Search surpassed the corresponding values produced by the original algorithm, and were similar to those solutions from HS_Mod2, but presenting a steadier behavior.

ACS Style

Mario Alejandro Barbosa-Mendez; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Gabriel Sepulveda-Cervantes. A Harmony Search Variant Based on a Novel Synthesized Approach for Constrained Numerical Optimization. 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) 2019, 1 -6.

AMA Style

Mario Alejandro Barbosa-Mendez, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Maria Barbara Calva-Yanez, Gabriel Sepulveda-Cervantes. A Harmony Search Variant Based on a Novel Synthesized Approach for Constrained Numerical Optimization. 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). 2019; ():1-6.

Chicago/Turabian Style

Mario Alejandro Barbosa-Mendez; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Gabriel Sepulveda-Cervantes. 2019. "A Harmony Search Variant Based on a Novel Synthesized Approach for Constrained Numerical Optimization." 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) , no. : 1-6.

Journal article
Published: 01 February 2019 in IEEE Access
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Nowadays, industrial robot applications are required to customize the manufacturing of diverse products to reduce both downtime and standoff variability. Two methods for robot programming are regularly implemented to carry out that goal. The first one, online programming, requires a specialized operator to guide the robot through desired poses, and the quality of the result is directly limited by his skill level. On the other side, off-line programming uses software packaging to simulate robot applications before their implementation. It reduces downtime with respect to online programming but requires additional calibration steps. In this paper, a novel procedure is presented to obtain accurate surface approximations by combining linear interpolations generated during online programming with a triangulated surface reconstruction of a workpiece surface representation. The method uses a point cloud instead of a predefined mesh to reduce the standoff variability between the robotic tool center point and the surface. Additionally, a technique based on a penalized least squares method was implemented to smooth the trajectory, including position and orientation. The proposed methodology was validated with three well-known case studies involving real trajectories, with simulations in Matlab® and RobotStudio®, as well as by experimentation with an industrial ABB robot. The quality of the results demonstrates a great efficiency of this method for path generation based on surface reconstruction.

ACS Style

Miguel Angel Funes-Lora; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Raul Rivera Blas; Emmanuel Alejandro Merchán Cruz; Manuel Faraon Carbajal Romero. A Novel Mesh Following Technique Based on a Non-Approximant Surface Reconstruction for Industrial Robotic Path Generation. IEEE Access 2019, 7, 22807 -22817.

AMA Style

Miguel Angel Funes-Lora, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Raul Rivera Blas, Emmanuel Alejandro Merchán Cruz, Manuel Faraon Carbajal Romero. A Novel Mesh Following Technique Based on a Non-Approximant Surface Reconstruction for Industrial Robotic Path Generation. IEEE Access. 2019; 7 (99):22807-22817.

Chicago/Turabian Style

Miguel Angel Funes-Lora; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Raul Rivera Blas; Emmanuel Alejandro Merchán Cruz; Manuel Faraon Carbajal Romero. 2019. "A Novel Mesh Following Technique Based on a Non-Approximant Surface Reconstruction for Industrial Robotic Path Generation." IEEE Access 7, no. 99: 22807-22817.

Journal article
Published: 07 December 2018 in IEEE Access
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In this work, a graph-theory based approach for representing planar mechanisms is presented, the Santiago-Portilla Method (SPM). From the corresponding adjacency matrix, SPM generates an extended matrix containing the complete characterization of a planar mechanism, including all the information about both topology and geometry. This matrix representation can be used for the optimal design of mechanisms, allowing simultaneously the topological and dimensional synthesis by means of computational tools such as the metaheuristic algorithms. A case study corresponding to the design of a fixed-linear-trajectory tracker mechanism is included in order to test the efficiency of the proposed approach. It was carried out by addressing the design as an optimization problem and solving it with the Differential Evolution algorithm, representing the individuals in its population by the matrix form generated by SPM. The results of the case study show that SPM and its matrix representation constitute a useful and flexible tool for the solution of real engineering problems involving the design of planar mechanisms.

ACS Style

Eric Santiago-Valenten; Edgar Alfredo Portilla-Flores; Efren Mezura-Montes; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Martin Pedroza-Villalba. A Graph-Theory-Based Method for Topological and Dimensional Representation of Planar Mechanisms as a Computational Tool for Engineering Design. IEEE Access 2018, 7, 587 -596.

AMA Style

Eric Santiago-Valenten, Edgar Alfredo Portilla-Flores, Efren Mezura-Montes, Eduardo Vega-Alvarado, Maria Barbara Calva-Yanez, Martin Pedroza-Villalba. A Graph-Theory-Based Method for Topological and Dimensional Representation of Planar Mechanisms as a Computational Tool for Engineering Design. IEEE Access. 2018; 7 (99):587-596.

Chicago/Turabian Style

Eric Santiago-Valenten; Edgar Alfredo Portilla-Flores; Efren Mezura-Montes; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Martin Pedroza-Villalba. 2018. "A Graph-Theory-Based Method for Topological and Dimensional Representation of Planar Mechanisms as a Computational Tool for Engineering Design." IEEE Access 7, no. 99: 587-596.

Journal article
Published: 15 November 2018 in IEEE Access
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In this paper, an alternative approach for topology optimization of truss-type structures is presented. The structural design is translated to a constrained discrete optimization problem based on weight reduction, with performance considerations included in its objective function. The constraints are related to the maximum global stress and to the individual strain energy density. Each member has a standard profile and its absence/presence in the structural representation is implemented with a binary coding; in order to avoid singularities while in the structural analysis, a scheme for simulating the effects of missing members by means of the birth/death element technique is applied. An energy-based approach is employed to detect those elements that not contribute to the overall stiffness. The optimization problem is solved by applying a Modified Binary Differential Evolution algorithm, and the graph theory is applied in parallel with the optimization process to discard unfeasible structures and reduce execution time. The structural performance is evaluated by an execution-time static analysis based on the finite-element method, considering the behavior in a 3-D environment and using commercial software to reduce the uncertainty in this step. The presented proposal is implemented in ANSYS APDL, using as case studies two different structures with a specific load case. The obtained results show a volume reduction of more than 40% off the initial structures, indicating that the proposed approach can be a high-quality tool for structural design in real engineering problems.

ACS Style

Martin Pedroza-Villalba; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Eric Santiago-Valentin; Enrique Alcala-Fazio. Truss Topology Optimization Based on a Birth/Death Element Approach. IEEE Access 2018, 6, 72609 -72619.

AMA Style

Martin Pedroza-Villalba, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Maria Barbara Calva-Yanez, Eric Santiago-Valentin, Enrique Alcala-Fazio. Truss Topology Optimization Based on a Birth/Death Element Approach. IEEE Access. 2018; 6 ():72609-72619.

Chicago/Turabian Style

Martin Pedroza-Villalba; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Barbara Calva-Yanez; Eric Santiago-Valentin; Enrique Alcala-Fazio. 2018. "Truss Topology Optimization Based on a Birth/Death Element Approach." IEEE Access 6, no. : 72609-72619.

Journal article
Published: 09 November 2017 in IEEE Access
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In this paper, an improved harmony search (ImHS) algorithm is presented. HS is a simple but efficient metaheuristic method explored in recent literature, that simulates the process of musical improvisation. Two modifications for parameter tuning are proposed to enhance the algorithm performance in the solution of constrained numerical optimization problems, maintaining the simplicity of its original design. Metaheuristics are methods for solving optimization problems, and are based in two processes: exploration (diversification) and exploitation (intensification). The proposed modifications improve both processes in HS, without breaking their balance. A well-known ideal problem set was used as a reference to compare the efficiency of the developed algorithm ImHS with HS and three of its most successful variants, and also with two other metaheuristics of different nature, artificial bee colony (ABC) and modified ABC (MABC). Various techniques were applied to evaluate the algorithm performance with the proposed modifications, in order to validate the reliability of the comparison. In most case studies, ImHS far surpassed the results of HS and ABC, also improving the performance of the selected variants. Additionally, its results reached a similar quality than the obtained with MABC but with a significantly lower computational cost, suggesting that it can be a useful tool for solving real-world optimization problems if they are modeled as constrained numerical cases.

ACS Style

Edgar Alfredo Portilla-Flores; Alvaro Sanchez-Marquez; Leticia Flores-Pulido; Eduardo Vega-Alvarado; Maria Barbara Calva Yanez; Jorge Alexander Aponte-Rodriguez; Paola Andrea Nino-Suarez. Enhancing the Harmony Search Algorithm Performance on Constrained Numerical Optimization. IEEE Access 2017, 5, 25759 -25780.

AMA Style

Edgar Alfredo Portilla-Flores, Alvaro Sanchez-Marquez, Leticia Flores-Pulido, Eduardo Vega-Alvarado, Maria Barbara Calva Yanez, Jorge Alexander Aponte-Rodriguez, Paola Andrea Nino-Suarez. Enhancing the Harmony Search Algorithm Performance on Constrained Numerical Optimization. IEEE Access. 2017; 5 ():25759-25780.

Chicago/Turabian Style

Edgar Alfredo Portilla-Flores; Alvaro Sanchez-Marquez; Leticia Flores-Pulido; Eduardo Vega-Alvarado; Maria Barbara Calva Yanez; Jorge Alexander Aponte-Rodriguez; Paola Andrea Nino-Suarez. 2017. "Enhancing the Harmony Search Algorithm Performance on Constrained Numerical Optimization." IEEE Access 5, no. : 25759-25780.

Conference paper
Published: 01 October 2017 in 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
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In this paper a concurrent design methodology is applied for developing a wrist rehabilitation device as a case study, by using geometric and topologic optimization techniques. The objective is to evaluate the proficiency of this methodology as an alternative to solve real word design problems. The case study was selected because it can be carried out as an optimization problem from a structural point of view, including simultaneously the selection of the material and the dimensional synthesis. The goal is to obtain a virtual optimized prototype that can be tested by traditional techniques, such as the finite element method. The simulation results were satisfactory, suggesting that concurrent design can be a useful tool for solving engineering problems.

ACS Style

Jorge A. Aponte-Rodriguez; Edgar Alfredo Portilla-Flores; Oscar Fernando Avilés Sánchez; Vladimir Prada-Jimenez; Eduardo Vega-Alvarado. Concurrent design applied to the structural optimization of a wrist rehabilitation system. 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) 2017, 1 -6.

AMA Style

Jorge A. Aponte-Rodriguez, Edgar Alfredo Portilla-Flores, Oscar Fernando Avilés Sánchez, Vladimir Prada-Jimenez, Eduardo Vega-Alvarado. Concurrent design applied to the structural optimization of a wrist rehabilitation system. 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). 2017; ():1-6.

Chicago/Turabian Style

Jorge A. Aponte-Rodriguez; Edgar Alfredo Portilla-Flores; Oscar Fernando Avilés Sánchez; Vladimir Prada-Jimenez; Eduardo Vega-Alvarado. 2017. "Concurrent design applied to the structural optimization of a wrist rehabilitation system." 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) , no. : 1-6.

Journal article
Published: 01 May 2017 in Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería
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ACS Style

Eduardo Vega-Alvarado; G. A. Muñoz-Hernández; Efren Mezura-Montes; G. Sepúlveda-Cervantes; P. Bautista-Camino; Edgar Alfredo Portilla-Flores. Un algoritmo memético basado en la colonia artificial de abejas para síntesis óptima de mecanismos. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 2017, 33, 1 .

AMA Style

Eduardo Vega-Alvarado, G. A. Muñoz-Hernández, Efren Mezura-Montes, G. Sepúlveda-Cervantes, P. Bautista-Camino, Edgar Alfredo Portilla-Flores. Un algoritmo memético basado en la colonia artificial de abejas para síntesis óptima de mecanismos. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 2017; 33 (2):1.

Chicago/Turabian Style

Eduardo Vega-Alvarado; G. A. Muñoz-Hernández; Efren Mezura-Montes; G. Sepúlveda-Cervantes; P. Bautista-Camino; Edgar Alfredo Portilla-Flores. 2017. "Un algoritmo memético basado en la colonia artificial de abejas para síntesis óptima de mecanismos." Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 33, no. 2: 1.

Journal article
Published: 06 April 2017 in IEEE Access
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Hybrid metaheuristics, explored in recent literature, are optimization methods that combine a global search metaheuristic with algorithms for refinement that in turn can be stochastic or deterministic. Although initially they were applied to combinatorial optimization, nowadays there are hybrid algorithms for a wide range of numerical problems: static or dynamic, mono or multi-objective, unconstrained or constrained, among others. In this paper a novel application of a hybrid method, MemMABC, is applied as a tool in a case study for the synthesis of an end effector presented as a constrained optimization problem, using a model for a two-finger gripper. The objective is to show the ability of hybrid metaheuristics as an alternative method for solving hard problems, specifically of numerical optimization. MemMABC is a memetic algorithm, that uses the modified artificial bee colony algorithm(MABC) for global searching and a version of random walk as local searcher, adapted to handle design constraints with an ε-constraint scheme. Grippers are end effectors used in a wide variety of robots, and are a good example of hard optimization problems. The simulation of results shows an accurate control of the gripping force along the opening range of the calculated mechanisms, suggesting that MemMABC can produce quality solutions for real-world engineering cases.

ACS Style

Eduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Maria Barbara Calva-Yanez; Gabriel Sepulveda-Cervantes; Jorge Alexander Aponte-Rodriguez; Eric Santiago-Valentín; Jose Marco Antonio Rueda-Melendez. Hybrid Metaheuristic for Designing an End Effector as a Constrained Optimization Problem. IEEE Access 2017, 5, 6002 -6014.

AMA Style

Eduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, Maria Barbara Calva-Yanez, Gabriel Sepulveda-Cervantes, Jorge Alexander Aponte-Rodriguez, Eric Santiago-Valentín, Jose Marco Antonio Rueda-Melendez. Hybrid Metaheuristic for Designing an End Effector as a Constrained Optimization Problem. IEEE Access. 2017; 5 ():6002-6014.

Chicago/Turabian Style

Eduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Maria Barbara Calva-Yanez; Gabriel Sepulveda-Cervantes; Jorge Alexander Aponte-Rodriguez; Eric Santiago-Valentín; Jose Marco Antonio Rueda-Melendez. 2017. "Hybrid Metaheuristic for Designing an End Effector as a Constrained Optimization Problem." IEEE Access 5, no. : 6002-6014.

Research article
Published: 28 February 2016 in Computational Intelligence and Neuroscience
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This paper presents two-swim operators to be added to the chemotaxis process of the modified bacterial foraging optimization algorithm to solve three instances of the synthesis of four-bar planar mechanisms. One swim favors exploration while the second one promotes fine movements in the neighborhood of each bacterium. The combined effect of the new operators looks to increase the production of better solutions during the search. As a consequence, the ability of the algorithm to escape from local optimum solutions is enhanced. The algorithm is tested through four experiments and its results are compared against two BFOA-based algorithms and also against a differential evolution algorithm designed for mechanical design problems. The overall results indicate that the proposed algorithm outperforms other BFOA-based approaches and finds highly competitive mechanisms, with a single set of parameter values and with less evaluations in the first synthesis problem, with respect to those mechanisms obtained by the differential evolution algorithm, which needed a parameter fine-tuning process for each optimization problem.

ACS Style

Betania Hernández-Ocaña; Ma. Del Pilar Pozos-Parra; Efrén Mezura-Montes; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Bárbara Calva-Yáñez. Two-Swim Operators in the Modified Bacterial Foraging Algorithm for the Optimal Synthesis of Four-Bar Mechanisms. Computational Intelligence and Neuroscience 2016, 2016, 1 -18.

AMA Style

Betania Hernández-Ocaña, Ma. Del Pilar Pozos-Parra, Efrén Mezura-Montes, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Maria Bárbara Calva-Yáñez. Two-Swim Operators in the Modified Bacterial Foraging Algorithm for the Optimal Synthesis of Four-Bar Mechanisms. Computational Intelligence and Neuroscience. 2016; 2016 ():1-18.

Chicago/Turabian Style

Betania Hernández-Ocaña; Ma. Del Pilar Pozos-Parra; Efrén Mezura-Montes; Edgar Alfredo Portilla-Flores; Eduardo Vega-Alvarado; Maria Bárbara Calva-Yáñez. 2016. "Two-Swim Operators in the Modified Bacterial Foraging Algorithm for the Optimal Synthesis of Four-Bar Mechanisms." Computational Intelligence and Neuroscience 2016, no. : 1-18.

Journal article
Published: 31 January 2016 in Polibits
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ACS Style

Eduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Efrén Mezura-Montes; Leticia Flores-Pulido; Maria Bárbara Calva-Yáñez. A Memetic Algorithm Applied to the Optimal Design of a Planar Mechanism for Trajectory Tracking. Polibits 2016, 53, 83 -90.

AMA Style

Eduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, Efrén Mezura-Montes, Leticia Flores-Pulido, Maria Bárbara Calva-Yáñez. A Memetic Algorithm Applied to the Optimal Design of a Planar Mechanism for Trajectory Tracking. Polibits. 2016; 53 ():83-90.

Chicago/Turabian Style

Eduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Efrén Mezura-Montes; Leticia Flores-Pulido; Maria Bárbara Calva-Yáñez. 2016. "A Memetic Algorithm Applied to the Optimal Design of a Planar Mechanism for Trajectory Tracking." Polibits 53, no. : 83-90.

Conference paper
Published: 01 September 2014 in 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
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Harmony Search (HS) algorithm, explored in recent literature, is an efficient metaheuristic optimization technique based on the musical improvisation process. Different versions of HS have been developed and used in solving real-world problems; however, most of the applications are oriented to combinatorial optimization. This paper presents a novel application of a modified HS for the synthesis of a four-bar planar mechanism that follows a specific trajectory, in order to demonstrate the capabilities of this algorithm for handling numerical optimization problems. Four-bar mechanisms are a good example of hard optimization problems, since they are used in a wide variety of industrial applications. HS algorithm was modified to handle design constraints by implementing Deb's feasibility rules. Simulation results show a high-precision control of the proposed trajectory for the designed mechanism, thus demonstrating that HS can be applied successfully not only to classical benchmark problems but for solving real engineering cases.

ACS Style

Alvaro Sanchez-Marquez; Eduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Efren Mezura-Montes. Synthesis of a planar four-bar mechanism for position control using the harmony search algorithm. 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) 2014, 1 -6.

AMA Style

Alvaro Sanchez-Marquez, Eduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, Efren Mezura-Montes. Synthesis of a planar four-bar mechanism for position control using the harmony search algorithm. 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). 2014; ():1-6.

Chicago/Turabian Style

Alvaro Sanchez-Marquez; Eduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores; Efren Mezura-Montes. 2014. "Synthesis of a planar four-bar mechanism for position control using the harmony search algorithm." 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) , no. : 1-6.