M
Mostafa Hajiaghaei-Keshteli
Researcher at Monterrey Institute of Technology and Higher Education
Publications - 138
Citations - 4702
Mostafa Hajiaghaei-Keshteli is an academic researcher from Monterrey Institute of Technology and Higher Education. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 33, co-authored 78 publications receiving 2395 citations. Previous affiliations of Mostafa Hajiaghaei-Keshteli include University of Mazandaran & University of Tehran.
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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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Tree Growth Algorithm (TGA)
TL;DR: The Tree Growth Algorithm (TGA) is presented as a novel method with different approach to address optimization tasks, inspired by trees competition for acquiring light and foods and compared with well-known optimization algorithms showed the superiority of TGA in these problems.