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Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach., и . SMC, стр. 1271-1275. IEEE, (2008)Multi-stopping criterion multi-feature-based multi-objective cohort intelligence algorithm for thermoacoustic engine optimisation., , и . Int. J. Model. Identif. Control., 40 (4): 356-370 (2022)Constraint handling in Firefly Algorithm., , и . CYBCONF, стр. 186-190. IEEE, (2013)A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives., , , и . HIS, стр. 213-218. IEEE, (2012)Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems., , и . FICTA (2), том 1177 из Advances in Intelligent Systems and Computing, стр. 145-153. Springer, (2020)JPEG based steganography methods using Cohort Intelligence with Cognitive Computing and modified Multi Random Start Local Search optimization algorithms., и . Inf. Sci., (2018)Boundary Searching Genetic Algorithm: A Multi-objective Approach for Constrained Problems., и . FICTA, том 247 из Advances in Intelligent Systems and Computing, стр. 269-276. Springer, (2013)Probability collectives for solving discrete and mixed variable problems., , и . Int. J. Comput. Aided Eng. Technol., 8 (4): 325-361 (2016)Modified Leader-Advocate-Believer Algorithm with Clustering-Based Search Space Reduction Method for Solving Engineering Design Problems., , , , и . SN Comput. Sci., 5 (4): 376 (апреля 2024)Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm., , , и . CoRR, (2023)