Solving Highly-Dimensional Multi-Objective Optimization Problems by Means of Genetic Gender

DOI10.1007/978-3-319-23180-8_23zbMath1379.93012OpenAlexW2409855237MaRDI QIDQ3133955

Zdzisław Kowalczuk, Tomasz Białaszewski

Publication date: 8 February 2018

Published in: Advances in Intelligent Systems and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-23180-8_23

zbMATH Keywords

observersgenetic algorithmsPareto-optimalitymulti-objectives

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Observability (93B07) Large-scale systems (93A15)

Related Items (1)

Gender approaches to evolutionary multi-objective optimization using pre-selection of criteria

Cites Work

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• Optimal residual design for fault diagnosis using multi-objective optimization and genetic algorithms
• Gender approaches to evolutionary multi-objective optimization using pre-selection of criteria
• Evolutionary Algorithms for Solving Multi-Objective Problems

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