Journal ArticleDOI
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
- Vol. 24, Iss: 19, pp 14637-14665
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TLDR
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.read more
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Coronavirus herd immunity optimizer (CHIO).
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Journal ArticleDOI
Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty
Amir Mohammad Fathollahi-Fard,Maxim A. Dulebenets,Mostafa Hajiaghaei–Keshteli,Reza Tavakkoli-Moghaddam,Mojgan Safaeian,Hassan Mirzahosseinian +5 more
TL;DR: This work for the first time proposes a dual-channel, multi-product,Multi-period,multi-echelon closed-loop SCND under uncertainty for the tire industry, and hybridized with the genetic algorithm and simulated annealing to strengthen the diversification and intensification phases.
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