DOPGA: a new fitness assignment scheme for multi-objective evolutionary algorithms

DOI10.1080/00207721.2012.724095zbMath1307.90203OpenAlexW2020286284MaRDI QIDQ5172572

Engin Ufuk Ergul, Ilyas Eminoglu

Publication date: 4 February 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2012.724095

zbMATH Keywords

evolutionary algorithmstest functionsdomination powerDOPGAfitness assignmentSPEA and SPEA2

Mathematics Subject Classification ID

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

Related Items (1)

DOPGA

Uses Software

• SPEA2

Cites Work

• Unnamed Item
• A fast steady-state \(\varepsilon \)-dominance multi-objective evolutionary algorithm
• SMS-EMOA: multiobjective selection based on dominated hypervolume
• A data mining approach to evolutionary optimisation of noisy multi-objective problems

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