Decomposition-Based Dynamic Multi-objective Evolutionary Algorithm for Global Optimization

Qing Zhang; Ruwang Jiao; Sanyou Zeng; Zhigao Zeng

doi:10.1007/978-981-15-5577-0_9

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Decomposition-Based Dynamic Multi-objective Evolutionary Algorithm for Global Optimization

Qing Zhang Ruwang Jiao Sanyou Zeng Zhigao Zeng

Year: 2020 Communications in computer and information science Pages: 115-126 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-15-5577-0_9

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Keywords:

Benchmark (surveying) Mathematical optimization Evolutionary algorithm Computer science Decomposition Global optimization Test functions for optimization Population Optimization problem Niche Function (biology) State (computer science) Estimation of distribution algorithm Algorithm Mathematics Multi-swarm optimization Ecology Geography

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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

Decomposition-Based Dynamic Multi-objective Evolutionary Algorithm for Global Optimization

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