An analysis of parameter sensitivities of preference-inspired co-evolutionary algorithms

DOI10.1080/00207721.2015.1008600zbMath1332.90360OpenAlexW1971466892WikidataQ57537276 ScholiaQ57537276MaRDI QIDQ2792177

Peter J. Fleming, Maszatul M. Mansor, Robin C. Purshouse, Rui Wang

Publication date: 8 March 2016

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

Full work available at URL: https://doi.org/10.1080/00207721.2015.1008600

zbMATH Keywords

sensitivitypreferencesevolutionary algorithmmulti-objective optimisationSobol

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Related Items (4)

A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center ⋮ Reinvestigation of evolutionary many-objective optimization: focus on the Pareto knee front ⋮ PGA/MOEAD: a preference-guided evolutionary algorithm for multi-objective decision-making problems with interval-valued fuzzy preferences ⋮ Handling many-objective optimisation problems with R2 indicator and decomposition-based particle swarm optimiser

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• Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

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