A hybrid evolutionary approach for solving constrained optimization problems over finite domains

A novel approach for the integration of evolution programs and constraint-solving techniques over finite domains is presented. This integration provides a problem-independent optimization strategy for large-scale constrained optimization problems over finite domains. In this approach, genetic operat...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 4; H. 4; S. 353 - 372
Hauptverfasser:	Ruiz-Andino, A., Araujo, L., Saenz, F., Ruz, J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.11.2000 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Biological cells Chromosomes Computer languages Computer science; control theory; systems Computer systems and distributed systems. User interface Constraint optimization Constraints Data structures Design optimization Evolutionary computation Exact sciences and technology Flows in networks. Combinatorial problems Genetics Large scale integration Mathematical analysis Memory architecture Operational research and scientific management Operational research. Management science Operators Optimization Searching Software Studies Testing Programming language Parallel system Genetic algorithm Evolutionary algorithm Consistency Problem solving Constraint satisfaction Large scale Hybridization Shared memory Parallelization Constrained optimization
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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