Ausgabe 3/2021
Special Issue: Understanding of Evolutionary Optimization Behavior, part I
Inhalt (12 Artikel)
On the use of -evolution strategy as efficient local search mechanism for discrete optimization: a behavioral analysis
Sara Tari, Matthieu Basseur, Adrien Goëffon
Open Access
Productive fitness in diversity-aware evolutionary algorithms
Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
A framework for designing of genetic operators automatically based on gene expression programming and differential evolution
Dazhi Jiang, Zhihang Tian, Zhihui He, Geng Tu, Ruixiang Huang
An Island Model based on Stigmergy to solve optimization problems
Grasiele Regina Duarte, Afonso Celso de Castro Lemonge, Leonardo Goliatt da Fonseca, Beatriz Souza Leite Pires de Lima
Absolute versus stochastic stability of the artificial bee colony in synchronous and sequential modes
Sameh Kessentini, Ihcène Naâs
Improving convergence in swarm algorithms by controlling range of random movement
Reshu Chaudhary, Hema Banati
Evolutionary algorithms and submodular functions: benefits of heavy-tailed mutations
Francesco Quinzan, Andreas Göbel, Markus Wagner, Tobias Friedrich
Improvement in learning enthusiasm-based TLBO algorithm with enhanced exploration and exploitation properties
Nitin Mittal, Arpan Garg, Prabhjot Singh, Simrandeep Singh, Harbinder Singh
An evaluation of k-means as a local search operator in hybrid memetic group search optimization for data clustering
Luciano D. S. Pacifico, Teresa B. Ludermir