Constraint-handling techniques used with evolutionary algorithms
Carlos A. Coello Coello
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.
Topics & Concepts
Evolutionary algorithmVariety (cybernetics)Evolutionary computationComputer scienceConstraint (computer-aided design)Mathematical optimizationFunction optimizationFitness functionAlgorithmEvolution strategyFunction (biology)Artificial intelligenceGenetic algorithmMachine learningMathematicsBiologyGeometryEvolutionary biologyMetaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and ApplicationsAdvanced Multi-Objective Optimization Algorithms