Cited by 237Advanced Multi-Objective Optimization AlgorithmsOptimization and Mathematical ProgrammingOptimization and Variational Analysis

A survey of multicriteria optimization or the vector maximum problem, part I: 1776?1960

Stadler, W.·1979·Journal of Optimization Theory and Applications

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Crossref · 10.1007/bf00932634

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  • Evolutionary algorithms such as Non-Dominated Sorting Genetic Algorithm (NSGA-I) and Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) can approximate the true Pareto Optimal solutions of multi-objective problems.

    “It has been shown that evolutionary algorithms such as Non-Dominated Sorting Genetic Algorithm (NSGA-I) [73] and Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) [74], can approximate the true PO solutions of multi-objective problems [70].”

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Authors
Stadler, W.
Affiliations
Technical University of Munich (DE)
Corresponding author
Stadler, W.
Venue
Journal of Optimization Theory and Applications
Published
1979-09
Volume
29
Issue
1
Pages
1-52
ISSN
  • 0022-3239 (ISSN-L)
  • 1573-2878
OpenAlex
W1963679962
Cited by
237
References
0
Citations by year
2026: 5 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 6 · 2021: 10 · 2020: 10 · 2019: 16 · 2018: 11 · 2017: 11 · 2016: 13 · 2015: 6 · 2014: 8 · 2013: 12 · 2012: 9
FWCI
1.11
Type
journal article
Language
en
Open access
closed
Locations
Journal of Optimization Theory and Applications (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Multi-Objective Optimization Algorithms
  • Physical Sciences › Engineering › Control and Systems Engineering › Optimization and Mathematical Programming
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Optimization and Variational Analysis
Keywords
multi-objective optimization, history of optimization, Pareto optimality, Vilfredo Pareto, utility theory, preference theory, welfare theory, game theory, Borel, John von Neumann, efficiency, production economics, linear programming

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