The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume

DOI10.1007/978-3-319-01128-8_13zbMath1322.90090OpenAlexW1003214819MaRDI QIDQ2950786

Günter Rudolph, Victor Adrián Sosa Hernández, Heike Trautmann, Oliver Schütze

Publication date: 9 October 2015

Published in: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-01128-8_13

zbMATH Keywords

multi-objective optimizationlocal searchevolutionary computationdirected searchdominated hypervolume

Mathematics Subject Classification ID

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

Related Items (3)

Linear programming-based directed local search for expensive multi-objective optimization problems: application to drinking water production plants ⋮ Hypervolume Maximization via Set Based Newton’s Method ⋮ A Memetic Variant of R-NSGA-II for Reference Point Problems

Uses Software

• SMS-EMOA

Cites Work

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• Stochastic method for the solution of unconstrained vector optimization problems
• SMS-EMOA: multiobjective selection based on dominated hypervolume
• Nonlinear multiobjective optimization. A generalized homotopy approach
• On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms

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