Results 31 to 40 of about 644,997 (352)
A novel multi-agent simulation based particle swarm optimization algorithm
PLoS ONE, 2022 Recently, there has been considerable research on combining multi-agent simulation and particle swarm optimization in practice. However, most existing studies are limited to specific engineering fields or problems without summarizing a general and ...
Shuhan Du, Wenhui Fan, Yi Liu
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Advances in Mechanical Engineering, 2017 Different optimization algorithms are used in fast medicine dispensing system to improve the efficiency of refilling. To achieve rapid replenishing of the manipulator and improve efficiency in pharmacy automation system.
Hui Jin +4 more
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Multi-Objective Particle Swarm Optimization Based on Fuzzy Optimality
IEEE Access, 2019 In order to overcome the limitations of the Pareto optimality in solving multi-objective optimization problems, a new optimality definition, fuzzy optimality is proposed, which considered both of the numbers of improved objectives and the extent of the ...
Yongpeng Shen, Gaorui Ge
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IEEE Access, 2019 With the development of railway transportation, the railway transportation enterprises expand their freight transportation from station-to-station transportation to door-to-door transportation, which makes the routing design more complicated.
Qianqian Zhang +4 more
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Preliminary design and optimization of toroidally-wound limited angle servo motor based on a generalized magnetic circuit model [PDF]
, 2016 This paper proposes a new generalized equivalent magnetic circuit model for the preliminary design of a toroidally-wound limited angle servo motor (LASM).
Jiao, Zongxia +4 more
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Journal of Traffic and Transportation Engineering (English ed. Online), 2017 Optimized road maintenance planning seeks for solutions that can minimize the life-cycle cost of a road network and concurrently maximize pavement condition.
Ali Gerami Matin +2 more
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A Study of Archiving Strategies in Multi-Objective PSO for Molecular Docking [PDF]
, 2016 Molecular docking is a complex optimization problem aimed at predicting the position of a ligand molecule in the active site of a receptor with the lowest binding energy. This problem can be formulated as a bi-objective optimization problem by minimizing
A Sandoval-Perez +15 more
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AMPSO: Artificial Multi-Swarm Particle Swarm Optimization
, 2020 In this paper we propose a novel artificial multi-swarm PSO which consists of an exploration swarm, an artificial exploitation swarm and an artificial convergence swarm. The exploration swarm is a set of equal-sized sub-swarms randomly distributed around the particles space, the exploitation swarm is artificially generated from a perturbation of the ...
Zhou, Haohao +3 more
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An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Advances in Mechanical Engineering, 2018 Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
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A Coevolutionary Particle Swarm Algorithm for Bi-Level Variational Inequalities: Applications to Competition in Highway Transportation Networks [PDF]
, 2009 A climate of increasing deregulation in traditional highway transportation, where the private sector has an expanded role in the provision of traditional transportation services, provides a background for practical policy issues to be investigated ...
Chiong, Raymond, Dhakal, Sandeep
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