Constraint-Handling Techniques used with Evolutionary Algorithms

Evolutionary Algorithms (EAs) have been found successful in the solution of a wide variety of optimization problems. However, EAs are unconstrained search techniques. Thus, incorporating constraints into the fitness function of an EA is an open research area.

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Publication Details

Journal
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Published
2025-07-14
DOI
https://doi.org/10.1145/3712255.3716509
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Constraint-Handling Techniques used with Evolutionary Algorithms

Carlos A. Coello Coello
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Scheduling and Optimization Algorithms
article

Constraint-Handling Techniques used with Evolutionary Algorithms

Carlos A. Coello Coello
article en

Abstract

Evolutionary Algorithms (EAs) have been found successful in the solution of a wide variety of optimization problems. However, EAs are unconstrained search techniques. Thus, incorporating constraints into the fitness function of an EA is an open research area.

Proceedings of the Genetic and Evolutionary Computation Conference Companion
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
Openalex Percentile: Top 49%
Scheduling and Optimization Algorithms
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Constraint-Handling Techniques used with Evolutionary Algorithms — Carlos A. Coello Coello · Proceedings of the Genetic and Evolutionary Computation Conference Companion (2025) | TGRS Research Map | TGRS