Constraint-Handling in Evolutionary Optimization; Efrén Mezura-Montes (Editor)

Authors

  • Efrén Mezura-Montes Laboratorio Nacional de Informática Avanzada (LANIA A.C.), Xalapa, Veracruz, México

Abstract

The use of evolutionary and swarm intelligence algorithms, has become a very popular option to solve complex real-world optimization problems. However, in their original versions, these algorithms lack a mechanism to handle the constraints of the problem i.e. they were designed to deal with unconstrained search spaces. Therefore, the design of constraint-handling mechanism is nowadays considered a research area within natureinspired computation for optimization.

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Published

2009-04-01

How to Cite

Mezura-Montes, E. (2009). Constraint-Handling in Evolutionary Optimization; Efrén Mezura-Montes (Editor). Journal of Computer Science and Technology, 9(01), p. 34–35. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/740