An Extension of the MOON2/MOON2R Approach to Many-Objective Optimization Problems

DOI10.1007/978-3-662-47044-2_3zbMath1354.90130OpenAlexW2152468237MaRDI QIDQ2956388

Yoshiaki Shimizu

Publication date: 17 January 2017

Published in: Optimization Methods, Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-662-47044-2_3

zbMATH Keywords

AHPneural networkmany-objective optimizationpairwise comparisonMOON\(^{2}\)MOON\(^{2\mathrm R}\)

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Cites Work

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• Control of robust design in multiobjective optimization under uncertainties
• Pareto simulated annealing—a metaheuristic technique for multiple‐objective combinatorial optimization
• A Simplex Method for Function Minimization

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