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akbaripour--h
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Integrated forward and reverse logistics in cloud manufacturing: an agent-based multi-layer architecture and optimization via genetic algorithm
, Article Production Engineering ; Volume 15, Issue 6 , 2021 , Pages 801-819 ; 09446524 (ISSN) ; Akbaripour, H ; Houshmand, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
Cloud manufacturing (CMfg) is a new service-oriented manufacturing paradigm that enables distributed collaboration between manufacturers. As logistics between geographically dispersed manufacturers is indispensable in CMfg environment, and the responsibility for the whole lifecycle of products becomes more important for manufacturers, we have taken into account both forward and reverse logistics services in CMfg. Unlike most of the research in the field, this paper not only addresses the special needs of CMfg system from reverse logistics perspective but also considers the transportation of returned products. For this purpose, an agent-based architecture for tackling reverse flows in CMfg is...
GEPSO: A new generalized particle swarm optimization algorithm
, Article Mathematics and Computers in Simulation ; Volume 179 , 2021 , Pages 194-212 ; 03784754 (ISSN) ; Masehian, E ; Sedighizadeh, M ; Akbaripour, H ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Particle Swarm Optimization (PSO) algorithm is a nature-inspired meta-heuristic that has been utilized as a powerful optimization tool in a wide range of applications since its inception in 1995. Due to the flexibility of its parameters and concepts, PSO has appeared in many variants, probably more than any other meta-heuristic algorithm. This paper introduces the Generalized Particle Swarm Optimization (GEPSO) algorithm as a new version of the PSO algorithm for continuous space optimization, which enriches the original PSO by incorporating two new terms into the velocity updating equation. These terms aim to deepen the interrelations of particles and their knowledge sharing, increase...