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Approximation in multiobjective optimization
Journal of Global Optimization, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multiobjective Optimization of Temporal Processes
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010This paper presents a dynamic predictive-optimization framework of a nonlinear temporal process. Data-mining (DM) and evolutionary strategy algorithms are integrated in the framework for solving the optimization model. DM algorithms learn dynamic equations from the process data.
Zhe Song, Andrew Kusiak
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Multiobjective bilevel optimization
Mathematical Programming, 2008This paper deals with nonlinear non-convex multi-objective bi-level optimization problems which are discussed using an optimistic approach. The author aims to obtain a good approximation of the feasible set of the upper level function by expressing it as the set of minimal solutions of a multi-objective optimization problem.
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Nonconvex Duality in Multiobjective Optimization
Mathematics of Operations Research, 1977Nonconvex duality properties for multiobjective optimization problems are obtained by using a characterization of Pareto optima by means of generalized Tchebycheff norms. Bounds for the corresponding duality gap are given, and approximate Pareto multipliers are constructed.
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On Benson’s scalarization in multiobjective optimization
Optimization Letters, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Majid Soleimani-Damaneh, Moslem Zamani
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Visualization in Multiobjective Optimization
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2016Bogdan Filipic, Tea Tusar
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Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021Bing-Chuan Wang +2 more
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Assessing the Performance of Interactive Multiobjective Optimization Methods
ACM Computing Surveys, 2022Bekir Afsar +2 more
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