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Investigation on the Differential Evolution driven by selected six chaotic systems in the task of reactor geometry optimization.

, , , , и . IEEE Congress on Evolutionary Computation, стр. 3087-3094. IEEE, (2013)

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Michal Pejko

Michal Olszewski

Michal Goldmann

Michal Vorel

Michal Buryan

 

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Multiple Choice Strategy - A Novel Approach for Particle Swarm Optimization - Preliminary Study., , и . ICAISC (2), том 7895 из Lecture Notes in Computer Science, стр. 36-45. Springer, (2013)Why Simple Population Restart Does Not Work in PSO., , , и . SSCI, стр. 770-776. IEEE, (2018)Multi-chaotic System Induced Success-History Based Adaptive Differential Evolution., , и . ICAISC (1), том 9692 из Lecture Notes in Computer Science, стр. 517-527. Springer, (2016)Chaos Driven Particle Swarm Optimization with Basic Particle Performance Evaluation - An Initial Study., , и . CISIM, том 8838 из Lecture Notes in Computer Science, стр. 445-454. Springer, (2014)Hidden Periodicity - Chaos Dependance on Numerical Precision., , , , , и . NOSTRADAMUS, том 210 из Advances in Intelligent Systems and Computing, стр. 47-59. Springer, (2013)Investigation on the Differential Evolution driven by selected six chaotic systems in the task of reactor geometry optimization., , , , и . IEEE Congress on Evolutionary Computation, стр. 3087-3094. IEEE, (2013)Success-history based adaptive differential evolution algorithm with multi-chaotic framework for parent selection performance on CEC2014 benchmark set., , и . CEC, стр. 4797-4803. IEEE, (2016)The Ensemble of Strategies and Perturbation Parameter in Self-organizing Migrating Algorithm Solving CEC 2019 100-Digit Challenge., , , и . CEC, стр. 372-375. IEEE, (2019)Distance based parameter adaptation for differential evolution., , , , и . SSCI, стр. 1-7. IEEE, (2017)Particle swarm optimization algorithm driven by multichaotic number generator., , и . Soft Comput., 18 (4): 631-639 (2014)