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An improved class of real-coded Genetic Algorithms for numerical optimization✰., , , , and . Neurocomputing, (2018)An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization., , , and . Inf. Sci., (2018)Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems., , and . CEC, page 372-379. IEEE, (2017)Hybrid niche Cultural Algorithm for numerical global optimization., , and . IEEE Congress on Evolutionary Computation, page 309-316. IEEE, (2013)Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application., , , , , and . CEC, page 1-7. IEEE, (2018)Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning., , and . CoRR, (2024)A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization., , , , and . Inf. Sci., (2016)CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization., , , and . Inf. Sci., (2017)Balancing search direction in cultural algorithm for enhanced global numerical optimization., , and . SIS, page 336-342. IEEE, (2014)HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO., , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)