An introduction to differential evolution
New ideas in optimization
Designing digital filters with differential evolution
New ideas in optimization
Population set-based global optimization algorithms: some modifications and numerical studies
Computers and Operations Research
A Fuzzy Adaptive Differential Evolution Algorithm
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Exploring dynamic self-adaptive populations in differential evolution
Soft Computing - A Fusion of Foundations, Methodologies and Applications
A comparative study of differential evolution variants for global optimization
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Design and Analysis of Experiments
Design and Analysis of Experiments
IEEE Transactions on Evolutionary Computation
Differential evolution in constrained numerical optimization: An empirical study
Information Sciences: an International Journal
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Multi-agent simulated annealing algorithm based on differential evolution algorithm
International Journal of Bio-Inspired Computation
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The evaluation of optimization algorithms and especially the analysis of adaptive variants is often complicated because several features are modified concurrently. For Differential Evolution these features may be adaptation of parameters, adjustment of the strategy and addition of local search or other special operators. Thus, it is difficult to analyze which of these procedures is actually responsible for changes in the performance. Therefore, in this work several adaptive algorithms are studied in-depth by monitoring performance changes for individual components of these algorithms to examine their effectiveness. The results show among others that the performance can be significantly improved by employing strategy control.