Results 81 to 90 of about 2,235,647 (195)
Multiobjective simulation optimization.
This doctoral dissertation focuses on multiobjective stochastic simulation optimization, and has been developed on the on the interface of two key research fields: operations research and artificial intelligence. Operations research models are commonly applied to support decisions in complex business and industrial systems (e.g., operations management,
openaire +2 more sources
Particle swarm optimization for constrained and multiobjective optimization: A brief review
Particle swarm optimization (PSO) is an optimization method that belongs to the swarm intelligence family. It was initially introduced as continuous problem optimization tool. It has evolved to being applied to more complex multiobjective and constrained
Alias, Mohamad Yusoff +3 more
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Interior Point Algorithm for Multi-UAVs Formation Autonomous Reconfiguration
Here the problem of designing multi-UAVs formation autonomous reconfiguration is considered. Combined with three kinds of cost functions, nonlinear dynamic equations, and four inequality constraints, one nonlinear multiobjective optimization problem is ...
Wang Jian-hong, Rana Javed Masood
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Fuzzy clustering of univariate and multivariate time series by genetic multiobjective optimization [PDF]
Given a set of time series, it is of interest to discover subsets that share similar properties. For instance, this may be useful for identifying and estimating a single model that may fit conveniently several time series, instead of performing the usual
S. Bandyopadhyay, R. Baragona, U. Maulik
core
Branch and bound method for multiobjective pairing selection [PDF]
Most of the available methods for selection of input-output pairings for decentralized control require evaluation of all alternatives to find the optimal pairings.
Kariwala, Vinay +3 more
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A novel hybrid multiobjective algorithm is presented in this paper, which combines a new multiobjective estimation of distribution algorithm, an efficient local searcher and ε-dominance.
Kaifeng Yang +5 more
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A Hybrid Multiobjective Particle Swarm Optimization Algorithm Based on R2 Indicator
When dealing with complex multiobjective problems, particle swarm optimization algorithm is easy to fall into local optimum and lead to uneven distribution.
Li-Xin Wei +4 more
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Sensitivity of Pareto Solutions in Multiobjective Optimization. [PDF]
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.
Balbás, Alejandro +2 more
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Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design [PDF]
This paper addresses the problem of the optimal design of batch plants with imprecise demands in product amounts. The design of such plants necessary involves how equipment may be utilized, which means that plant scheduling and production must constitute
Aguilar-Lasserre, Alberto +7 more
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Multiobjective Optimization of Precision Forging Process Parameters Based on Response Surface Method
In order to control the precision forging forming quality and improve the service life of die, a multiobjective optimization method for process parameters design was presented by applying Latin hypercube design method and response surface model approach.
Fayuan Zhu, Zhaohui Wang, Mi Lv
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