A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points

Rui Ding; Hongbin Dong; Jun He; Tao Li

doi:10.1016/j.asoc.2019.02.040

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A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points

Rui Ding Hongbin Dong Jun He Tao Li

Year: 2019 Journal: Applied Soft Computing Vol: 78 Pages: 447-464 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2019.02.040

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Keywords:

Evolutionary algorithm Computer science Sorting Benchmark (surveying) Population Convergence (economics) Mathematical optimization Evolution strategy Set (abstract data type) Particle swarm optimization Genetic algorithm Evolutionary computation Algorithm Process (computing) Machine learning 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

A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points

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