Methods for multi-objective optimization: an analysis

DOI10.1016/j.ins.2014.08.071zbMath1355.90090OpenAlexW2082972783WikidataQ59634803 ScholiaQ59634803MaRDI QIDQ508908

Peter J. Fleming, Ioannis Giagkiozis

Publication date: 8 February 2017

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

Full work available at URL: http://eprints.whiterose.ac.uk/86090/8/WRRO_86090.pdf

zbMATH Keywords

multi-objective optimizationChebyshev decompositiondecomposition-based methodsPareto-based methods

Mathematics Subject Classification ID

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

Related Items (16)

Preference-inspired co-evolutionary algorithms using weight vectors ⋮ An improved MOEA/D with optimal DE schemes for many-objective optimization problems ⋮ Multi-objective sustainable capacitated location routing problem formulation in sustainable supply-chain management ⋮ Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization ⋮ Aggregation with dependencies: capacities and fuzzy integrals ⋮ A Broyden-based algorithm for multi-objective local-search optimization ⋮ Constrained multiobjective optimization of expensive black-box functions using a heuristic branch-and-bound approach ⋮ A new resource allocation strategy based on the relationship between subproblems for MOEA/D ⋮ Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations ⋮ Generalized decomposition and cross entropy methods for many-objective optimization ⋮ On the estimation of Pareto fronts from the point of view of copula theory ⋮ A new approach to generate pattern-efficient sets of non-dominated vectors for multi-objective optimization ⋮ An overview of population-based algorithms for multi-objective optimisation ⋮ A stopping criterion for multi-objective optimization evolutionary algorithms ⋮ A survey on kriging-based infill algorithms for multiobjective simulation optimization ⋮ Pareto adaptive penalty-based boundary intersection method for multi-objective optimization

Uses Software

• MOEA/D

Cites Work

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