Multiple-vector self-adaptation in evolutionary algorithms

BioSystems

Volumn 61, Issue 2-3, 2001, Pages 155-162

  Fogel, David B ^a   Fogel, Gary B ^a   Ohkura, Kazuhiro ^b  

^a NATURAL SELECTION INC   (United States)

^b KOBE UNIVERSITY   (Japan)

Author keywords

Evolutionary computation; Parameter control; Self adaptation

Indexed keywords

ALGORITHM;

ADAPTATION; ALGORITHM; ARTICLE; COMPUTER MODEL; EVOLUTION; PARAMETER; TECHNIQUE;

EID: 0035827832     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0303-2647(01)00167-8     Document Type: Article

References (22)

1. On self-adaptive features in real-parameter evolutionary algorithms
2. Fitness distributions in evolutionary computation: motivation and examples in the continuous domain
3. Parameter control in evolutionary algorithms
4. A note on representations and variation operators
5. Revisiting Bremermann's genetic algorithm. II. Experiments with multiparent discrete recombination on linear systems of equations
6. Meta-evolutionary programming
7. Hierarchical models of evolutionary programming
8. Tuning evolutionary programming for conformationally flexible molecular docking
9. Adaptive genetic operators based on coevolution with fuzzy behaviors
10. Remarks on a recent paper on the 'no free lunch' theorems
11. Simulation of biological evolution and machine learning. I. Selection of self-reproducing numeric patterns by data processing machines
12. Self-adaptive mutations may lead to premature convergence
13. Learning strategy parameters in evolutionary programming: an empirical study
14. A comparison of methods for self-adaptation in evolutionary algorithms
15. No free lunch theorems for optimization
16. Evolutionary programming made faster