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Journal of Computational Science, 2014
Abstract Bat algorithm (BA) is a recent metaheuristic optimization algorithm proposed by Yang. In the present study, we have introduced chaos into BA so as to increase its global search mobility for robust global optimization. Detailed studies have been carried out on benchmark problems with different chaotic maps.
Amir H Gandomi, Xin-She Yang
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Abstract Bat algorithm (BA) is a recent metaheuristic optimization algorithm proposed by Yang. In the present study, we have introduced chaos into BA so as to increase its global search mobility for robust global optimization. Detailed studies have been carried out on benchmark problems with different chaotic maps.
Amir H Gandomi, Xin-She Yang
exaly +2 more sources
Enhancement structures for the bat algorithm
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018 Bat algorithm is a recently developed swarm optimization technique which has been found to be a powerful method for multimodal optimization problems. Some of the drawbacks in standard BA are reduced convergence speed due to lack of inertia weight factor and premature convergence due to low diversification capability of the algorithm as the problem’s ...
Reddy, MP, Ganguli, R
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Island bat algorithm for optimization
Expert Systems With Applications, 2018Abstract Structured population in evolutionary algorithms is a vital strategy to control diversity during the search. One of the most popular structured population strategies is the island model in which the population is divided into several sub-populations (islands). The EA normally search for each island independently. After a number of predefined
Mohammed Azmi Al-Betar +1 more
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A Comparative Study of Improved Bat Algorithm and Bat Algorithm on Numerical Benchmarks
2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT), 2015 Optimization is employed in solutions of many problems today. Optimization is described as finding the most suitable alternative among many others under the given constraints. Meta-heuristic algorithms used in solutions of the problems are developed upon the behaviors of living creatures in the nature.
Beskirli, Mehmet, Koc, Ismail
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Optimal parameter settings for bat algorithm
International Journal of Bio-Inspired Computation, 2015Bat algorithm is a swarm intelligent algorithm inspired by the echolocation behaviour of bats. Recently, there are many research works focus on this algorithm, however, most of them are with different parameter settings when dealing with un-constrained numerical problems.
, Yongquan Cai, Yang Cao
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Modified bat algorithm with quaternion representation
2015 IEEE Congress on Evolutionary Computation (CEC), 2015 This paper introduces a modified bat algorithm using quaternion representation of individuals. Quaternions are a number system, which extends complex numbers. They are successfully applied to problems of theoretical physics and to those areas needing fast rotation calculations.
Iztok Fister 0001 +3 more
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New directional bat algorithm for continuous optimization problems
Expert Systems With Applications, 2017 Bat algorithm (BA) is a recent optimization algorithm based on swarm intelligence and inspiration from the echolocation behavior of bats. One of the issues in the standard bat algorithm is the premature convergence that can occur due to the low ...
Asma Chakri +2 more
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Economic dispatch using chaotic bat algorithm
Energy, 2016 This paper presents the application of a new metaheuristic optimization algorithm, the chaotic bat algorithm for solving the economic dispatch problem involving a number of equality and inequality constraints such as power balance, prohibited operating ...
B R Adarsh +2 more
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Bat algorithm with Gaussian walk
International Journal of Bio-Inspired Computation, 2014Bat algorithm is a novel branch of evolutionary computation. Although there are several research papers that focus on this new algorithm, however, few of them concerns the high-dimensional numerical problems. In this paper, a new variant called bat algorithm with Gaussian walk BAGW is proposed aiming to solve this problem.
Xingjuan Cai +3 more
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Bat Algorithm with Recollection
2013Bat algorithm(BA) is a new swarm intelligence optimization algorithm. However, bat algorithm has the obvious phenomenon of the premature convergence problem and is easily trapped into local optimum. In order to overcome the shortcoming of the BA algorithm, we proposed an improved bat algorithm called bat algorithm with recollection(RBA).
Wen Wang, Yong Wang, Xiaowei Wang
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