On min-norm and min-max methods of multi-objective optimization

DOI10.1007/s10107-003-0462-yzbMath1079.90123OpenAlexW1995053973MaRDI QIDQ1777223

JiGuan G. Lin

Publication date: 12 May 2005

Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10107-003-0462-y

zbMATH Keywords

multicriteria decision makinggoal programmingmultiobjective optimizationPareto optimalmin-maxweighted boundATOPattain or overpass

Mathematics Subject Classification ID

Minimax problems in mathematical programming (90C47) Multi-objective and goal programming (90C29) Sensitivity, stability, parametric optimization (90C31) Management decision making, including multiple objectives (90B50)

Related Items (12)

Scalarizations for adaptively solving multi-objective optimization problems ⋮ A norm minimization-based convex vector optimization algorithm ⋮ Improving the min-max method for multiobjective programming ⋮ Constrained optimization using multiple objective programming ⋮ Objective Selection for Cancer Treatment: An Inverse Optimization Approach ⋮ Cost-effective optimization strategies and sampling plan for Weibull quantiles under type-II censoring ⋮ Multi-Objective Cost-Detectability in Unfalsified Adaptive Control ⋮ Efficient Multi-objective Reinforcement Learning via Multiple-gradient Descent with Iteratively Discovered Weight-Vector Sets ⋮ Exact generation of epsilon-efficient solutions in multiple objective programming ⋮ Generating properly efficient points in multi-objective programs by the nonlinear weighted sum scalarization method ⋮ Multiobjective bilevel optimization ⋮ Hybrid flowshop scheduling with machine and resource-dependent processing times

Uses Software

• NBI

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