Aleš Zamuda

Prof. Aleš Zamuda

Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2019 in Swarm and Evolutionary Computation
Verified
Journal Article
Closed access
AVAdam Viktorin
Adam Viktorin
RSRoman Senkerik
Roman Senkerik
MPMichal Pluhacek
Michal Pluhacek
TKTomas Kadavy
Tomas Kadavy
Aleš ZamudaAleš Zamuda
Aleš Zamuda

1 May 2009
Verified
Conference Paper
Closed access
JBJanez Brest
Janez Brest
Aleš ZamudaAleš Zamuda
Aleš Zamuda
BBBorko Boskovic
Borko Boskovic
MMMirjam Sepesy Maucec
Mirjam Sepesy Maucec
VZViljem Zumer
Viljem Zumer
In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method with aging mechanism is used. The performance of the jDE algorithm is evaluated on the set of benchmark functions provided for the CEC 2009 special session on evolutionary computation in dynamic and uncertain environments.

1 December 2015 in Swarm and Evolutionary Computation
Verified
Journal Article
Closed access
Aleš ZamudaAleš Zamuda
Aleš Zamuda
JBJanez Brest
Janez Brest

1 June 2008
Verified
Conference Paper
Closed access
JBJanez Brest
Janez Brest
Aleš ZamudaAleš Zamuda
Aleš Zamuda
BBBorko Boskovic
Borko Boskovic
MMMirjam Sepesy Maucec
Mirjam Sepesy Maucec
VZViljem Zumer
Viljem Zumer
In this paper we investigate a self-adaptive differential evolution algorithm (jDEdynNP-F) where F and CR control parameters are self-adapted and a population size reduction method is used. Additionally the proposed jDEdynNP-F algorithm uses a mechanism for sign changing of F control parameter with some probability based on the fitness values of randomly chosen vectors, which are multiplied by the F control parameter (scaling factor) in the mutation operation of DE algorithm. The performance of the jDEdynNP-F algorithm is evaluated on the set of 7 benchmark functions provided for the CECpsila2008 special session on high-dimensional real-parameter optimization.


1 May 2016 in Applied Soft Computing
Verified
Journal Article
Closed access
Aleš ZamudaAleš Zamuda
Aleš Zamuda
JSJosé Daniel Hernández Sosa
José Daniel Hernández Sosa
LALeonhard Adler
Leonhard Adler