Results 181 to 190 of about 97,422 (235)
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Affine invariance of meta-heuristic algorithms
Information Sciences, 2021Abstract An algorithm whose performance depends on the objective function being aligned with a privileged coordinate system is a poor choice in general because it is unlikely that the optimal orientation will be known in advance. In this paper, a property of meta-heuristic algorithms, named affine invariance, is introduced to verify whether the ...
ZhongQuan Jian, GuangYu Zhu 0005
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Meta-heuristic bus transportation algorithm
Iran Journal of Computer Science, 2018Over recent decades, several experience-based mathematical models have been proposed. In addition to collective intelligence, in recent years some efforts have been made to apply human experience-based intelligence to open up a new world of possibilities to design new meta-heuristic algorithms for solving NP problems.
Mohammad Bodaghi, Koosha Samieefar
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Introducing an effective meta-heuristic algorithm: Cosmogony algorithm (CA)
Journal of Intelligent & Fuzzy Systems, 2020The purpose of this paper is to introduce a new meta-heuristic algorithm and apply this for solving a multi-objective flexible job-shop scheduling problem. The name of this algorithm is Cosmogony (CA). This algorithm has inspired by the ecosystem process of creatures and their environment.
Nasser Shahsavari-Pour +2 more
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Playground Algorithm as a New Meta-heuristic Optimization Algorithm
2019 XXVII International Conference on Information, Communication and Automation Technologies (ICAT), 2019This paper presents a new meta-heuristic algorithm called Playground algorithm. The Playground algorithm is designed to model social interaction amongst children, and the mechanisms and operators of the algorithm are inspired by the model of child interaction and engagement in games during a child's stay at the playground.
Kemal Altwlkany, Samim Konjicija
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A new meta-heuristic optimizer: Pathfinder algorithm
Applied Soft Computing, 2019Abstract This paper proposes a new meta-heuristic algorithm called Pathfinder Algorithm (PFA) to solve optimization problems with different structure. This method is inspired by collective movement of animal group and mimics the leadership hierarchy of swarms to find best food area or prey.
Hamza Yapici, Nurettin Çetinkaya
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A new meta-heuristic butterfly-inspired algorithm
Journal of Computational Science, 2017Abstract This paper proposes a novel bio-inspired algorithm named Artificial Butterfly Optimization (ABO) algorithm. The new algorithm is based on the mate-finding strategy of some butterfly species. Two groups of artificial butterflies are employed for simulating the flight strategies. If the flight strategies of artificial butterflies are redefined,
Xiangbo Qi, Yunlong Zhu, Hao Zhang 0017
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A novel meta-heuristic algorithm: Dynamic Virtual Bats Algorithm
Information Sciences, 2016Nature-inspired algorithms are a very important part of meta-heuristics. A novel nature inspired algorithm called the Dynamic Virtual Bats Algorithm (DVBA) is presented in this paper. DVBA is inspired by a bat's ability to manipulate frequency and wavelength of the emitted sound waves when hunting.
Ali Osman Topal, Oguz Altun
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Cooperative meta-heuristic algorithms for global optimization problems
Expert Systems with Applications, 2021Abstract This paper presents an alternative global optimization meta-heuristics (MHs) approach, inspired by the natural selection theory. The proposed approach depends on the competition among six MHs that allows generating an offspring, which can breed the high characteristics of parents since they are unique and competitive.
Mohamed Abd El-Aziz 0001 +5 more
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Randomization and Complex Networks for Meta-Heuristic Algorithms
2017This chapter deals with the hybridization of the chaos driven heuristics concept and complex networks framework for meta-heuristic. This research aims on the experimental investigations on the time development and influence of different randomization types, different strategies for Differential Evolution (DE) through the analysis of complex network as ...
Šenkeřík, Roman +5 more
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Aquila Optimizer: A novel meta-heuristic optimization algorithm
Computers & Industrial Engineering, 2021Abstract This paper proposes a novel population-based optimization method, called Aquila Optimizer (AO), which is inspired by the Aquila’s behaviors in nature during the process of catching the prey. Hence, the optimization procedures of the proposed AO algorithm are represented in four methods; selecting the search space by high soar with the ...
Laith Mohammad Abualigah +5 more
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