Linear programming-based directed local search for expensive multi-objective optimization problems: application to drinking water production plants

DOI10.1016/J.EJOR.2017.03.057zbMath1403.90598OpenAlexW2599037074MaRDI QIDQ1754046

Xianqiang Yang

Publication date: 30 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2017.03.057

zbMATH Keywords

multi-objective optimizationlocal searchlife cycle assessmentOR in environment and climate changeexpensive black-box model

Mathematics Subject Classification ID

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

Uses Software

• PISA
• MOEA/D
• SPEA2
• EGO
• PHREEQC
• ParEGO
• PhreeqcRM

Cites Work

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• Regression and Kriging metamodels with their experimental designs in simulation: a review
• Efficient computation of the search region in multi-objective optimization
• Response surface approximation of Pareto optimal front in multi-objective optimization
• The development of a multi-objective tabu search algorithm for continuous optimisation problems
• The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume
• Simulation optimization: a review of algorithms and applications

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