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检索条件"主题词=Bison Algorithm"

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TUNING OF THE bison algorithm CONTROL PARAMETERS 32

TUNING OF THE BISON ALGORITHM CONTROL PARAMETERS

引用

32nd European Conference on Modelling and Simulation (ECMS)

作者： Kazikova, Anezka Pluhacek, Michal Senkerik, Roman Tomas Bata Univ Zlin Fac Appl Informat TG Masaryka 5555 Zlin 76001 Czech Republic

ISBN: (纸本)9780993244070

This paper studies the dependency of the bison algorithm performance on the control parameter configuration. The bison algorithm is a new swarm algorithm based on the protection mechanisms of bison herds. It operates with two groups: the exploiting swarming group and the exploring running group. Even though that adjusting the group size parameters affects both the time requirements and the performance of the algorithm, there was no investigation of the parameter settings carried out yet. This paper describes the bison algorithm and then investigates the control parameters for a better understanding of their meaning and influence on the overall optimization process.

关键词： bison algorithm parameter study swarm algorithm optimization metaheuristic

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New Running Technique for the bison algorithm 17th

New Running Technique for the Bison Algorithm

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17th International Conference on Artificial Intelligence and Soft Computing (ICAISC)

作者： Kazikova, Anezka Pluhacek, Michal Viktorin, Adam Senkerik, Roman Tomas Bata Univ Zlin Fac Appl TG Masaryka 5555 Zlin 76001 Czech Republic

ISBN: (纸本)9783319912530;9783319912523

This paper examines the performance of the bison algorithm with a new running technique. The bison algorithm was inspired by the typical behavior of bison herds: the swarming movement of endangered bison as the exploitation factor and the running as the exploration phase of the optimization. While the original running procedure allowed the running group to scatter throughout the search space, the new approach proposed in this paper preserves the initial formation of the running group throughout the optimization process. At the beginning of the paper, we introduce the bison algorithm and explain the new running technique procedure. Later the performance of the adjusted algorithm is tested and compared to the Particle Swarm Optimization and the Cuckoo Search algorithm on the IEEE CEC 2017 benchmark set, consisting of 30 functions. Finally, we evaluate the meaning of the experiment outcomes for future research.

关键词： bison algorithm Running technique Swarm algorithms

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BORDER STRATEGIES OF THE bison algorithm 33

BORDER STRATEGIES OF THE BISON ALGORITHM

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33rd International European Council for Modelling and Simulation Conference on Modelling and Simulation, ECMS 2019

作者： Kazikova, Anezka Oplatkova, Zuzana Kominkova Pluhacek, Michal Senkerik, Roman Tomas Bata Univ Zlin Fac Appl Informat TG Masaryka 5555 Zlin 76001 Czech Republic

ISBN: (纸本)9783937436654

The bison algorithm is a recent swarm optimization algorithm based on bison behavior. The algorithm divides the population into two groups, simulating exploitation and exploration patterns separately. The exploration is particularly linked with crossing the search space boundaries. This paper compares several boundary violation protocols: the hypersphere, reflection, random positioning, and clipping strategies on IEEE CEC 2017 benchmark and seeks the most fitting method for the bison algorithm.

关键词： bison algorithm boundary strategy hypersphere

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Performance of the bison algorithm on Benchmark IEEE CEC 2017 7th

Performance of the Bison Algorithm on Benchmark IEEE CEC 201...

引用

7th Computer Science On-Line Conference (CSOC)

作者： Kazikova, Anezka Pluhacek, Michal Senkerik, Roman Tomas Bata Univ Zlin Fac Appl Informat TG Masaryka 5555 Zlin 76001 Czech Republic

ISBN: (纸本)9783319911892

This paper studies the performance of a newly developed optimization algorithm inspired by the behavior of bison herds: the bison algorithm. The algorithm divides its population into two groups. The exploiting group simulates the swarming behavior of bison herds endangered by predators. The exploring group systematically runs through the search space in order to avoid local optima. At the beginning of the paper, the bison algorithm is introduced. Then the performance of the algorithm is compared to the Particle Swarm Optimization and the Cuckoo Search on the set of 30 benchmark functions of IEEE CEC 2017. Finally, the outcome of the experiments is discussed.

关键词： bison algorithm bison Optimization Swarm algorithms Metaheuristic

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Regarding the Behavior of bison Runners Within the bison algorithm

Regarding the Behavior of Bison Runners Within the Bison Alg...

引用

作者： Kazikova, Anezka Brno University of Technology

This paper proposes a modification of the bison algorithm’s running technique, which allows the running group to exploit the areas of discovered promising solutions. It also provides a closer examination of the successful running behavior and its impact on the overall optimization process. The new algorithm is then compared to other optimization algorithms on the IEEE CEC 2017 benchmark solving continuous minimization problems.

关键词： bison algorithm bison seeker algorithm optimization swarm algorithms

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