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Probability Collectives: A multi-agent approach for solving combinatorial optimization problems.

, and . Appl. Soft Comput., 10 (3): 759-771 (2010)

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Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach., and . SMC, page 1271-1275. IEEE, (2008)A hybrid \( M5^\) -genetic programming approach for ensuring greater trustworthiness of prediction ability in modelling of FDM process., , , and . J. Intell. Manuf., 25 (6): 1349-1365 (2014)Comparison of statistical and machine learning methods in modelling of data with multicollinearity., and . Int. J. Model. Identif. Control., 18 (4): 295-312 (2013)Multiobjective optimization of sensor network deployment by a genetic algorithm., , , , , , and . IEEE Congress on Evolutionary Computation, page 3917-3921. IEEE, (2007)A hybrid genetic algorithm for multiobjective structural optimization., and . IEEE Congress on Evolutionary Computation, page 2948-2955. IEEE, (2007)A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives., , , and . HIS, page 213-218. IEEE, (2012)Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness Functions., and . SEMCCO (2), volume 8298 of Lecture Notes in Computer Science, page 23-31. Springer, (2013)Probability collectives for solving discrete and mixed variable problems., , and . Int. J. Comput. Aided Eng. Technol., 8 (4): 325-361 (2016)Probability Collectives: A distributed optimization approach for constrained problems., and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)Hybrid GA multiobjective optimization for the design of compliant micro-actuators., , and . SMC, page 559-564. IEEE, (2008)