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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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Improving Approaches for Meta-heuristic Algorithms: A Brief Overview
2022Optimization problems can be observed in many applications, ranging from engineering applications and decision-making to computer science and finance. Optimization can be described as a process for discovering optimal solution among all available solutions of the defined problem, considering complex and high-dimensional constraints in searching for the
Arya Yaghoubzadeh-Bavandpour +3 more
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Metaheuristic algorithms represent a key area of optimization research that generates interest for many academicians and researchers in today's technology landscape. Researchers have been using these methods as a problem-solving approach for many decades when applied to combinatorial optimization problems, which has now grown into a significant ...
Arshiya Begum, Asfia Sabahath
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Arshiya Begum, Asfia Sabahath
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Meta-heuristic algorithms for wafer sorting scheduling problems
Journal of the Operational Research Society, 2011Wafer sorting is usually regarded as the most critical stage in the whole wafer probing process. This paper discusses the wafer sorting scheduling problem (WSSP) with total setup time minimization as the primary criterion and the minimization of the number of machines used as the secondary criterion.
Shih-Wei Lin +3 more
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Parking recommendation with meta-heuristic algorithms
Theoretical and Natural ScienceDue to the exponential growth of cars in urban areas, parking problems have become a significant concern. Addressing this issue requires efficient methods for locating available parking spaces, enhancing the overall experience for drivers. This paper introduces a parking lot recommendation model leveraging meta-heuristic algorithms to generate a list ...
Siyuan Wu, Tingting Yang
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