Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization [PDF]
, 2013 The use of surrogate based optimization (SBO) is widely spread in engineering design to reduce the number of computational expensive simulations. However, "real-world" problems often consist of multiple, conflicting objectives leading to a set of ...
Couckuyt, Ivo +2 more
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Multiparameter and Multiobjective Optimization Design Based on Orthogonal Method for Mixed Flow Fan
Energies, 2020 Optimization design of an impeller is critical for the energy performance of a fan. This paper takes the promotion of fan efficiency and pressure rise as the optimization objectives to carry out multiparameter and multiobjective optimization research ...
Honggang Fan +3 more
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A Stable Large-Scale Multiobjective Optimization Algorithm with Two Alternative Optimization Methods
Entropy, 2023 For large-scale multiobjective evolutionary algorithms based on the grouping of decision variables, the challenge is to design a stable grouping strategy to balance convergence and population diversity.
Tianyu Liu, Junjie Zhu, Lei Cao
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On efficiency and duality for a class of nonconvex nondifferentiable multiobjective fractional variational control problems [PDF]
Opuscula Mathematica, 2023 In this paper, we consider the class of nondifferentiable multiobjective fractional variational control problems involving the nondifferentiable terms in the numerators and in the denominators.
Tadeusz Antczak +2 more
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Proper efficiency and duality for a new class of nonconvex multitime multiobjective variational problems [PDF]
, 2014 In this paper, a new class of generalized of nonconvex multitime multiobjective variational problems is considered. We prove the sufficient optimality conditions for efficiency and proper efficiency in the considered multitime multiobjective variational ...
Antczak, Tadeusz, Pitea, Ariana
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Strategies for multiobjective genetic algorithm development: Application to optimal batch plant design in process systems engineering [PDF]
, 2008 This work deals with multiobjective optimization problems using Genetic Algorithms (GA). A MultiObjective GA (MOGA) is proposed to solve multiobjective problems combining both continuous and discrete variables.
Azzaro-Pantel, Catherine +3 more
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Mathematics, 2020 The aim of this work is to design a multiobjective model to explain the behavior among military expenditures (MEs), the human development index, and the global peace index in countries belonging to the North Atlantic Treaty Organization (NATO) for the ...
Patricio Vallejo-Rosero +4 more
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Multiobjective genetic algorithm strategies for electricity production from generation IV nuclear technology [PDF]
, 2010 Development of a technico-economic optimization strategy of cogeneration systems of electricity/hydrogen, consists in finding an optimal efficiency of the generating cycle and heat delivery system, maximizing the energy production and minimizing the ...
Azzaro-Pantel, Catherine +5 more
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AI Magazine, 2008 Using some real‐world examples I illustrate the important role of multiobjective optimization in decision making and its interface with preference handling. I explain what optimization in the presence of multiple objectives means and discuss some of the most common methods of solving multiobjective optimization problems using transformations to single ...
Branke, Jürgen +3 more
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The proximal point method for locally lipschitz functions in multiobjective optimization with application to the compromise problem [PDF]
, 2018 This paper studies the constrained multiobjective optimization problem of finding Pareto critical points of vector-valued functions. The proximal point method considered by Bonnel, Iusem, and Svaiter [SIAM J. Optim., 15 (2005), pp.
Bento, Glaydston de Carvalho +4 more
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