New fitness sharing approach for multi-objective genetic algorithms

DOI10.1007/s10898-012-9966-4zbMath1268.90147OpenAlexW1980216074MaRDI QIDQ1945511

Hyoungjin Kim, Meng-Sing Liou

Publication date: 8 April 2013

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-012-9966-4

zbMATH Keywords

multi-objective optimizationgenetic algorithmsnichingsharing function

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

An improved MOEA/D algorithm with an adaptive evolutionary strategy ⋮ A diverse human learning optimization algorithm

Uses Software

• PISA
• SPEA2
• SMS-EMOA
• HypE

Cites Work

• SMS-EMOA: multiobjective selection based on dominated hypervolume
• Evolutionary Algorithms for Solving Multi-Objective Problems
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