Results 221 to 230 of about 72,290 (269)
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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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Bat algorithm for constrained optimization tasks
Neural Computing and Applications, 2012In this study, we use a new metaheuristic optimization algorithm, called bat algorithm (BA), to solve constraint optimization tasks. BA is verified using several classical benchmark constraint problems. For further validation, BA is applied to three benchmark constraint engineering problems reported in the specialized literature. The performance of the
Amir Gandomi, Xin-She Yang, Amir H Alavi
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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.
Xingjuan Cai, Yang Cao, Zhihua Cui
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Neural Computing and Applications, 2013
Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the echolocation behavior of bats to perform global optimization. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO).
Seyedali Mirjalili +2 more
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Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the echolocation behavior of bats to perform global optimization. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO).
Seyedali Mirjalili +2 more
openaire +2 more sources
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), 2015Optimization 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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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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2013
After analyzing the deficiencies of bat algorithm (BA), we proposed an improved bat algorithm called an adaptive bat algorithm(ABA). In the ABA, each bat can dynamic and adaptively adjust its flight speed and its flight direction while it is searching for food, and makes use of the hunting approach of combining random search with shrinking search.
Xiaowei Wang, Wen Wang, Yong Wang
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After analyzing the deficiencies of bat algorithm (BA), we proposed an improved bat algorithm called an adaptive bat algorithm(ABA). In the ABA, each bat can dynamic and adaptively adjust its flight speed and its flight direction while it is searching for food, and makes use of the hunting approach of combining random search with shrinking search.
Xiaowei Wang, Wen Wang, Yong Wang
openaire +1 more source
Enhancement structures for the bat algorithm
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018Bat 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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2014
Addressing to the computational requirements of the hardware devices with limited resources such as memory size or low price is critical issues. This paper, a novel algorithm, namely compact Bat Algorithm (cBA), for solving the numerical optimization problems is proposed based on the framework of the original Bat algorithm (oBA).
Thi-Kien Dao +4 more
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Addressing to the computational requirements of the hardware devices with limited resources such as memory size or low price is critical issues. This paper, a novel algorithm, namely compact Bat Algorithm (cBA), for solving the numerical optimization problems is proposed based on the framework of the original Bat algorithm (oBA).
Thi-Kien Dao +4 more
openaire +1 more source