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Online Fusion of Incremental Learning for Wireless Sensor Networks.

, , , and . ICDM Workshops, page 525-532. IEEE Computer Society, (2014)

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Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization., , , and . GECCO (Companion), page 1721-1726. ACM, (2017)Memetic Viability Evolution for Constrained Optimization., , and . CoRR, (2018)Multi-Strategy Coevolving Aging Particle Optimization., , and . CoRR, (2018)A population-based approach for multi-agent interpretable reinforcement learning., , , and . Appl. Soft Comput., (November 2023)Spatial anomaly detection in sensor networks using neighborhood information., , , , and . Inf. Fusion, (2017)Quality Diversity Evolutionary Learning of Decision Trees., , and . SAC, page 425-432. ACM, (2023)Adaptive Bi-objective Genetic Programming for Data-Driven System Modeling., , , and . ICIC (3), volume 9773 of Lecture Notes in Computer Science, page 248-259. Springer, (2016)Black Holes and Revelations: Using Evolutionary Algorithms to Uncover Vulnerabilities in Disruption-Tolerant Networks., , , and . EvoApplications, volume 9028 of Lecture Notes in Computer Science, page 29-41. Springer, (2015)Interpretable pipelines with evolutionary optimized modules for reinforcement learning tasks with visual inputs., and . GECCO Companion, page 224-227. ACM, (2022)Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables., , and . EvoApplications (1), volume 10199 of Lecture Notes in Computer Science, page 636-652. (2017)