This paper presents a novel meta-heuristic algorithm inspired by the visual capabilities of the mantis shrimp (Gonodactylus smithii), which can detect linearly and circularly polarized light signals to determine information regarding the polarized light source emitter. Inspired by these unique visual characteristics, the Mantis Shrimp Optimization Algorithm (MShOA) mathematically covers three visual strategies based on the detected signals: random navigation foraging, strike dynamics in prey engagement, and decision-making for defense or retreat from the burrow. These strategies balance exploitation and exploration procedures for local and global search over the solution space. MShOA’s performance was tested with 20 testbench functions and compared against 14 other optimization algorithms. Additionally, it was tested on 10 real-world optimization problems taken from the IEEE CEC2020 competition. Moreover, MShOA was applied to solve three studied cases related to the optimal power flow problem in an IEEE 30-bus system. Wilcoxon and Friedman’s statistical tests were performed to demonstrate that MShOA offered competitive, efficient solutions in benchmark tests and real-world applications.

The increase in costs for electricity consumption has gone up, significantly affecting the economy of users, within the tariffs of residential users is the “DAC” rate (that means high consumption domestic rate). An economic analysis of electricity consumption rates indicates that, as of January 1st, 2019, the cost per kWh used in the “DAC” tariff corresponds to $ 5.121 MXN, which means that a “DAC” user pays more than 200% than a user 1C rate for each kWh consumed. For this purpose, a photovoltaic system has been designed for interconnection to the network, this system allows users to change from “DAC” rate to tariff 1C, and consequently will allow the reduction of these costs about the electric power service, this system can be installed in any yard, besides generating electricity, the photovoltaic products will be 2: a swing and a gazebo, with an installed capacity of 1.1 kWh, which will provide a rest and relaxation service.

The project presented in the following scientific article shows the results obtained in an experimental work that was carried out by students of the renewable energy career, which aims to develop a solar dome, which uses the heat energy of the great star of the solar system, in addition to reducing pollution and reduce CO2 emissions to the Earth's atmosphere. The idea is simple, make a solar dome, with which you can heat and / or cook food, in an easier and cheaper way and without using conventional methods such as gas burning, and in rural areas, the use of firewood or other organic pollutants.

Cada día, dependemos de sistemas eléctricos que nos permiten llevar una vida conectada, pero detrás de la electricidad que llega a nuestros hogares, hay un desafío complejo: cómo hacer que esos sistemas funcionen de manera más eficiente y menos costosa. Aquí es donde entran los algoritmos bio-inspirados. Estos algoritmos, basados en los comportamientos observados en la naturaleza, ofrecen una manera innovadora de resolver problemas que parecen difíciles de abordar. Si bien su uso tiene un impacto directo en la economía, también pueden mejorar la sostenibilidad de los sistemas eléctricos, reduciendo su huella ambiental. Desde la optimización del consumo energético hasta la mejora de la seguridad operativa, estos algoritmos encuentran soluciones inteligentes a través de patrones que no siempre son evidentes para el ojo humano. En un mundo donde los sistemas eléctricos se vuelven cada vez más complejos, estos algoritmos emergen como aliados poderosos, flexibles y capaces de ofrecernos un futuro energético más limpio y eficiente.