Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms

Frikkie Snyman; Mardé Helbig

doi:10.1007/978-3-319-61833-3_7

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Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms

Frikkie Snyman Mardé Helbig

Year: 2017 Lecture notes in computer science Pages: 57-66 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-61833-3_7

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Keywords:

Mathematical optimization Evolutionary algorithm Computer science Sorting Multi-objective optimization Pareto principle Penalty method Optimization problem Genetic algorithm Algorithm Mathematics

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms

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