Author
Mostafa Hajiaghaei-Keshteli
Other affiliations: University of Mazandaran, University of Tehran, Amirkabir University of Technology ...read more
Bio: 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 & Supply chain network. 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.
Papers
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01 Oct 2020
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.
Abstract: Nature has been considered as an inspiration of several recent meta-heuristic algorithms. This paper firstly studies and mimics the behavior of Scottish red deer in order to develop a new nature-inspired algorithm. The main inspiration of this meta-heuristic algorithm is to originate from an unusual mating behavior of Scottish red deer in a breading season. Similar to other population-based meta-heuristics, the red deer algorithm (RDA) starts with an initial population called red deers (RDs). They are divided into two types: hinds and male RDs. Besides, a harem is a group of female RDs. The general steps of this evolutionary algorithm are considered by the competition of male RDs to get the harem with more hinds via roaring and fighting behaviors. By solving 12 benchmark functions and important engineering as well as multi-objective optimization problems, the superiority of the proposed RDA shows in comparison with other well-known and recent meta-heuristics.
240 citations
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.
196 citations
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.
188 citations
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.
148 citations
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.
143 citations
Cited by
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TL;DR: From the experimental results of AO that compared with well-known meta-heuristic methods, the superiority of the developed AO algorithm is observed.
989 citations
Book•
01 Jan 1986
765 citations
28 Sep 2014
TL;DR: This paper presents an experimental study of parameter design and tolerance design for dynamic characteristics in the context of Offline and online quality control.
Abstract: Contents: Variety and Quality. Variability loss and tolerance. Determining tolerances. Tolerance design and experimental design. Offline and online quality control. Parameter design and tolerance design: case study. Experimental design for smaller is better characteristics. Experimental design for larger is better characteristics. Bypassing the S/N ratio: spring experiment. Experimental design for dynamic characteristics.
672 citations