Increasing selective pressure towards the best compromise in evolutionary multiobjective optimization: the extended NOSGA method
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Publication:621628
DOI10.1016/j.ins.2010.09.007zbMath1206.90160OpenAlexW1971007988MaRDI QIDQ621628
Edy Lopez, Carlos A. Coello Coello, Fernando Lopez, Eduardo Fernandez
Publication date: 28 January 2011
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2010.09.007
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Online multi-criteria portfolio analysis through compromise programming models built on the underlying principles of fuzzy outranking ⋮ Evolutionary algorithms with preference polyhedron for interval multi-objective optimization problems ⋮ A bi-objective turning restriction design problem in urban road networks
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Cites Work
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- Evolutionary multiobjective optimization using an outranking-based dominance generalization
- Multi-objective optimisation of an outranking model for public resources allocation on competing projects
- Extended VIKOR method in comparison with outranking methods
- A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization
- Multi-objective decision making model under fuzzy random environment and its application to inventory problems
- Large scale evolutionary optimization using cooperative coevolution
- A fast Pareto genetic algorithm approach for solving expensive multiobjective optimization problems
- Multicriteria sorting using a valued indifference relation under a preference disaggregation paradigm
- An evolutionary approach to construction of outranking models for multicriteria classification: the case of the ELECTRE TRI method
- Multiple objective decision making - methods and applications. A state- of-the-art survey. In collaboration with Sudhakar R. Paidy and Kwangsun Yoon
- Nonlinear multiobjective optimization
- Multicriteria decision aid classification methods
- A hybrid multi-objective immune algorithm for a flow shop scheduling problem with bi-objectives: weighted mean completion time and weighted mean tardiness
- Handling effects of reinforced preference and counter-veto in credibility of outranking
- Integrated multiobjective optimization and a priori preferences using genetic algorithms
- Multicriteria methodology for decision aiding. Transl. from the French by Mark R. McCord
- Evolutionary Algorithms for Solving Multi-Objective Problems
- Preference disaggregation: 20 years of MCDA experience.
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