A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation

DOI10.1016/j.ins.2018.10.027zbMath1443.90307OpenAlexW2898749352MaRDI QIDQ2004708

Guo Yu, Shengxiang Yang, Hui Bai, Jinhua Zheng, Juan Zou

Publication date: 7 October 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2086/17260

zbMATH Keywords

Pareto optimalityevolutionary multi-objective optimizationmany-objective optimizationspace partitioningangle-based truncation

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (4)

Multi-objective two-level medical facility location problem and tabu search algorithm ⋮ A region search evolutionary algorithm for many-objective optimization ⋮ Multi-dimensional tree guided efficient global association for decomposition-based evolutionary many-objective optimization ⋮ Reformulating preferences into constraints for evolutionary multi- and many-objective optimization

Uses Software

• MOEA/D
• SPEA2
• SMS-EMOA
• HypE

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• SMS-EMOA: multiobjective selection based on dominated hypervolume
• Bi-goal evolution for many-objective optimization problems
• Faster Hypervolume-Based Search Using Monte Carlo Sampling
• Applications of Multi-Objective Evolutionary Algorithms
• Evolutionary Multi-Criterion Optimization

This page was built for publication: A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation