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Incremental Particle Swarm-Guided Local Search for Continuous Optimization., , и . Hybrid Metaheuristics, том 5296 из Lecture Notes in Computer Science, стр. 72-86. Springer, (2008)Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling., , и . Hybrid Metaheuristics, том 5818 из Lecture Notes in Computer Science, стр. 100-114. Springer, (2009)Why the Intelligent Water Drops Cannot Be Considered as a Novel Algorithm., , и . ANTS Conference, том 11172 из Lecture Notes in Computer Science, стр. 302-314. Springer, (2018)Convergence behavior of the fully informed particle swarm optimization algorithm., и . GECCO, стр. 71-78. ACM, (2008)An experimental study of preference model integration into multi-objective optimization heuristics., , , и . IEEE Congress on Evolutionary Computation, стр. 2751-2758. IEEE, (2011)Benchmark results for a simple hybrid algorithm on the CEC 2013 benchmark set for real-parameter optimization., и . IEEE Congress on Evolutionary Computation, стр. 1938-1944. IEEE, (2013)Ant Colony Optimization.. EMO, том 5467 из Lecture Notes in Computer Science, стр. 2. Springer, (2009)A Computational Study of Neighborhood Operators for Job-Shop Scheduling Problems with Regular Objectives., и . EvoCOP, том 10197 из Lecture Notes in Computer Science, стр. 1-17. (2017)Exploiting Fitness Distance Correlation of Set Covering Problems., , и . EvoWorkshops, том 2279 из Lecture Notes in Computer Science, стр. 61-71. Springer, (2002)Automated algorithm configuration and design., и . GECCO Companion, стр. 1075-1100. ACM, (2020)