Differential evolution for noisy multiobjective optimization

DOI10.1016/j.artint.2015.06.004zbMath1346.90828OpenAlexW847164865MaRDI QIDQ899164

Amit Konar, Pratyusha Rakshit

Publication date: 21 December 2015

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2015.06.004

zbMATH Keywords

samplingnoiseskewnessinterquartile rangedifferential evolution for multiobjective optimizationdominance probability

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

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Uses Software

• Ziggurat
• ParEGO
• Flury
• rnorrexp

Cites Work

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• Swarm algorithms with chaotic jumps applied to noisy optimization problems
• A sequential sampling procedure for genetic algorithms
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling
• A Note on the Generation of Random Normal Deviates
• Evolutionary Algorithms for Solving Multi-Objective Problems
• Evolutionary Multi-Criterion Optimization
• Evolutionary Multi-Criterion Optimization

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