Results 21 to 30 of about 644,441 (293)
Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging [PDF]
, 2007 The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum.
Hawe, G.I., Sykulski, J.K.
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Comparative Study of Ant Colony Algorithms for Multi-Objective Optimization
Information, 2018 In recent years, when solving MOPs, especially discrete path optimization problems, MOACOs concerning other meta-heuristic algorithms have been used and improved often, and they have become a hot research topic.
Jiaxu Ning +3 more
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Multi-agent system for dynamic manufacturing system optimization [PDF]
, 2008 This paper deals with the application of multi-agent system concept for optimization of dynamic uncertain process. These problems are known to have a computationally demanding objective function, which could turn to be infeasible when large problems are ...
A.J. Gonzalez +6 more
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Cheetah Optimizer for Multi-objective Optimization Problems
, 2023 AbstractIn this paper, a new algorithm named multi-objective cheetah optimizer is presented for solving multi-objective optimization problems. Cheetah optimizer is a new optimization algorithm, which has been proven to be more effective for solving large-scale and complex optimization problems.
Shubhkirti Sharma, Vijay Kumar
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Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022 As a solution for sequence optimization, and to obtain a solution that is strong robustness to variations, a multi-objective robust design optimization (MORDO) and robust genetic algorithm (GA) are applied to a multi-objective optimization problem.
Takashi YAMAZAKI +4 more
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Robustness in Mean-Variance Portfolio Optimization [PDF]
Mathematics and Modeling in Finance, 2022 In this paper, we discuss some of the concepts of robustness for uncertain multi-objective optimization problems. An important factor involved with multi objective optimization problems is uncertainty.
Shokouh Shahbeyk
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Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm [PDF]
, 2018 n this work, a problem of optimal placement of renewable generation and topology design for a Microgrid (MG) is tackled. The problem consists of determining the MG nodes where renewable energy generators must be optimally located and also the ...
Camacho-Gómez, Carlos +6 more
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Applied Sciences, 2022 Software maintenance is an important step in the software lifecycle. Software module clustering is a HHMO_CF_GDA optimization problem involving several targets that require minimization of module coupling and maximization of software cohesion.
Haya Alshareef, Mashael Maashi
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A constrained multi-objective surrogate-based optimization algorithm [PDF]
, 2014 Surrogate models or metamodels are widely used in the realm of engineering for design optimization to minimize the number of computationally expensive simulations.
Couckuyt, Ivo +3 more
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A Bayesian approach to constrained single- and multi-objective optimization [PDF]
, 2016 This article addresses the problem of derivative-free (single- or multi-objective) optimization subject to multiple inequality constraints. Both the objective and constraint functions are assumed to be smooth, non-linear and expensive to evaluate.
A Bayesian +7 more
core +5 more sources