Results 221 to 230 of about 13,395 (249)
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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 Hossein Gandomi +3 more
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A Multi-objective Binary Bat Algorithm
Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication, 2015Bat Algorithm (BA) is a recently proposed heuristic algorithm based on the echolocation behavior of bats. BA has proven to have better performance than other well-known algorithms like particle swarm optimization (PSO) and genetic algorithm (GA). However, the research on using BA for binary and multi-objective optimization has just begun. In this paper
Mohamed Amine Laamari, Nadjet Kamel
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Modified bat algorithm with quaternion representation
2015 IEEE Congress on Evolutionary Computation (CEC), 2015This 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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Enhanced shuffled bat algorithm (EShBAT)
2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016Bat Algorithm (BA) is a simple and effective global optimization algorithm which has been applied to a wide range of real-world optimisation problems. Various extensions to Bat algorithm have been proposed in the past; prominent amongst them being ShBAT. ShBAT is a hybrid between BA and Shuffled Frog Leaping Algorithm-SFLA; a memetic algorithm based on
Reshu Chaudhary, Hema Banati
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Cultural Bat Optimization Algorithm: An Improved Variant of Bat Algorithm
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON), 2022K. A. Amalo +2 more
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Batting order optimization by genetic algorithm
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012Baseball has been widely studied in various ways, including math and statistics. In a baseball game, an optimized batting order helps the team achieves greater number of runs in a season. This paper introduces a method that combines a genetic algorithm with a statistical simulation to identify a non-optimal batting order.
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Study of Parameter Sensitivity on Bat Algorithm
2017Heuristics and metaheuristics are known to be sensitive to input parameters. Bat algorithm (BA), a recent optimization metaheuristic, has a great number of input parameters that need to be adjusted in order to increase the quality of the results. Despites the crescent number of works with BA in literature, to the best of our knowledge, there is no work
Iago Augusto de Carvalho +4 more
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