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Amir Mohammad Fathollahi-Fard
Researcher at École de technologie supérieure
Publications - 100
Citations - 4171
Amir Mohammad Fathollahi-Fard is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Computer science & Supply chain. The author has an hindex of 21, co-authored 57 publications receiving 1672 citations. Previous affiliations of Amir Mohammad Fathollahi-Fard include Amirkabir University of Technology.
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Red deer algorithm (RDA): a new nature-inspired meta-heuristic
Amir Mohammad Fathollahi-Fard,Mostafa Hajiaghaei-Keshteli,Reza Tavakkoli-Moghaddam,Reza Tavakkoli-Moghaddam +3 more
TL;DR: The main inspiration of this meta- heuristic algorithm is to originate from an unusual mating behavior of Scottish red deer in a breading season, and the superiority of the proposed RDA shows in comparison with other well-known and recent meta-heuristics.
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Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks
TL;DR: A multi-objective mixed integer linear programming model for designing of sustainable tire closed-loop supply chain network that aims to optimize total cost, environmental impacts of establishment of facilities, processing of tires and transportation between each level as well as social impacts including job opportunities and work's damages is developed.
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The Social Engineering Optimizer (SEO)
TL;DR: This paper aims to develop a simple, intelligent and new single-solution algorithm that has just four main steps and three simple parameters to tune that shows its superiority in comparison with other well-known and recent meta-heuristics.
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A green home health care supply chain: New modified simulated annealing algorithms
TL;DR: A Green Home Health Care Supply Chain is contributed for the first time by a bi-objective location-allocation-routing model and a set of new modified SA algorithms are proposed to better solve the proposed NP-hard problem.
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Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint
TL;DR: Issues in the context of urgent need for energy-conservation as well as the advent of globalized and multi-factory manufacture motivate the attempts to address a stochastic multi-objective distributed permutation flow shop scheduling problem by considering total tardiness constraint via minimizing the makespan and the total energy consumption.