Multi-method based algorithm for multi-objective problems under uncertainty

DOI10.1016/J.INS.2018.12.072zbMath1443.90310OpenAlexW2907719889WikidataQ128655108 ScholiaQ128655108MaRDI QIDQ2005506

Forhad Zaman, Daryl L. Essam, Carlos A. Coello Coello, Saber M. Elsayed, Ruhul A. Sarker

Publication date: 8 October 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2018.12.072

zbMATH Keywords

uncertaintymulti-objective optimizationevolutionary algorithmrenewable energydynamic economic and environmental dispatch

Mathematics Subject Classification ID

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

Related Items (1)

An evolutionary approach for resource constrained project scheduling with uncertain changes

Uses Software

• ALO
• MOALO

Cites Work

• Adaptive weighted sum method for multiobjective optimization: a new method for Pareto front generation
• Multi-operator based evolutionary algorithms for solving constrained optimization problems
• Adaptive configuration of evolutionary algorithms for constrained optimization

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