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PARETO OPTIMAL SOLUTIONS FOR MULTI-OBJECTIVE GENERALIZED ASSIGNMENT PROBLEM
South African Journal of Industrial Engineering, 2012 <p>ENGLISH ABSTRACT: The Multi-Objective Generalized Assignment Problem (MGAP) with two objectives, where one objective is linear and the other one is non-linear, has been considered, with the constraints that a job is assigned to only one worker –
S. Prakash, M.K. Sharma, A. Singh
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Increasing the density of available pareto optimal solutions [PDF]
, 2012 The set of available multi-objective optimization algorithms continues to grow. This fact can be partially attributed to their widespread use and applicability.
Fleming, P.J., Giagkiozis, I.
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Axial preferred solutions for multiobjective optimal control problems: An application to chemical processes [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2020 Detecting the Pareto optimal solutions on the Pareto frontier is one of the most important topics in multiobjective optimal control problems. In real-world control systems, there is needed for the decision-maker to apply their own opinion to find the ...
G.H. Askarirobati +2 more
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Distributed Interval Optimization Over Time-Varying Networks: A Numerical Programming Perspective
IEEE Access, 2023 In this study, we investigate a distributed interval optimization problem involving agents linked by a time-varying network, optimizing interval objective functions under global convex constraints.
Yinghui Wang +3 more
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Pareto optimal solutions for smoothed analysts [PDF]
Proceedings of the forty-third annual ACM symposium on Theory of computing, 2011 Consider an optimization problem with $n$ binary variables and $d+1$ linear objective functions. Each valid solution $x \in \{0,1\}^n$ gives rise to an objective vector in $\R^{d+1}$, and one often wants to enumerate the Pareto optima among them. In the worst case there may be exponentially many Pareto optima; however, it was recently shown that in (a ...
Moitra, Ankur, O'Donnell, Ryan
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Interbank lending with benchmark rates: Pareto optima for a class of singular control games [PDF]
, 2021 We analyze a class of stochastic differential games of singular control, motivated by the study of a dynamic model of interbank lending with benchmark rates.
Cont, Rama, Guo, Xin, Xu, Renyuan
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Stability of Pareto-Optimal Allocations of Resources to Activities [PDF]
Modeling, Identification and Control, 1986 A concept of stability is introduced for the Pareto-optimal solutions of a vector-valued problem of the allocation of resources to activities, and characterized by a property which is independent of uncertainties in the efficiency matrix of the ...
Kåre M. Mjelde
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COSMO: A dynamic programming algorithm for multicriteria codon optimization
Computational and Structural Biotechnology Journal, 2020 Codon optimization in protein-coding sequences (CDSs) is a widely used technique to promote the heterologous expression of target genes. In codon optimization, a combinatorial space of nucleotide sequences that code a given amino acid sequence and take ...
Akito Taneda, Kiyoshi Asai
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Sensitivity of Pareto Solutions in Multiobjective Optimization [PDF]
Journal of Optimization Theory and Applications, 2005 The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker (KKT) necessary conditions applied to nonlinear multiobjective programs (MOP) continuously depending on a parameter. Since the KKT conditions are of the first order, the sensitivity properties are considered in the first approximation.
Balbás, A. +2 more
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Efficient Elitist Cooperative Evolutionary Algorithm for Multi-Objective Reinforcement Learning
IEEE Access, 2023 Sequential decision-making problems with multiple objectives are known as multi-objective reinforcement learning. In these scenarios, decision-makers require a complete Pareto front that consists of Pareto optimal solutions. Such a front enables decision-
Dan Zhou, Jiqing Du, Sachiyo Arai
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