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A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.

, , , , , and . Swarm Evol. Comput., (2021)

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Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms., , , , and . Innovations in Hybrid Intelligent Systems, volume 44 of Advances in Soft Computing, Springer, (2008)Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions., , and . Memetic Computing, 5 (4): 295-309 (2013)Benchmarking a hybrid DE-RHC algorithm on real world problems., , and . IEEE Congress on Evolutionary Computation, page 1027-1033. IEEE, (2011)Sequential Hybridization of Online Surrogate Models for Continuous Optimization., , and . GECCO Companion, page 2297-2303. ACM, (2023)Very Low Latency Architecture for Earth Observation Satellite Onboard Data Handling, Compression, and Encryption., , , , , , , , , and 5 other author(s). IGARSS, page 7791-7794. IEEE, (2021)On the scalability of population restart mechanisms on large-scale global optimization., and . CEC, page 1071-1078. IEEE, (2017)A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark., and . CEC, page 1063-1070. IEEE, (2017)A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city., , and . Expert Syst. Appl., 40 (14): 5516-5531 (2013)A new methodology for the automatic creation of adaptive hybrid algorithms., , and . Intell. Data Anal., 16 (1): 3-23 (2012)Multiple Offspring Sampling in Large Scale Global Optimization., , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)