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From data mining to rule refining A new tool for post data mining rule optimisation.

, , , and . ICTAI, page 82-85. IEEE Computer Society, (2000)

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Artificial Development of Biologically Plausible Neural-Symbolic Networks., , and . Cogn. Comput., 6 (1): 18-34 (2014)Genetic Algorithms for Gene Expression Analysis., and . EvoWorkshops, volume 2611 of Lecture Notes in Computer Science, page 76-86. Springer, (2003)Multi-objective Optimisation with a Sequence-based Selection Hyper-heuristic., and . GECCO (Companion), page 81-82. ACM, (2016)Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid., and . IJDMB, 7 (4): 376-396 (2013)Evolution of robotic behaviours using Gene Expression Programming., and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)Defining a Quality Measure Within Crossover: An Electric Bus Scheduling Case Study., and . EA, volume 14091 of Lecture Notes in Computer Science, page 73-88. Springer, (2022)Continuous Trait-Based Particle Swarm Optimisation (CTB-PSO)., , and . ANTS, volume 7461 of Lecture Notes in Computer Science, page 342-343. Springer, (2012)Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions., , , , , , , , , and 12 other author(s). Environ. Model. Softw., (2014)Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks., , and . CIBCB, page 9-16. IEEE, (2004)An Adaptive Sequence-Based Selection Hyper-Heuristic for Application to Electric Bus Scheduling., , and . GECCO Companion, page 711-714. ACM, (2023)