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Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules.

, , and . IEEE Trans. Cybern., 47 (9): 2951-2965 (2017)

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Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG., and . IEEE Congress on Evolutionary Computation, page 2983-2990. IEEE, (2008)Object Detection using Neural Networks and Genetic Programming, and . Technical report, CS-TR-07-3. Computer Science, Victoria University of Wellington, New Zealand, (November 2007)Not-Sampled Issue and Round-Replacement Tournament Selection, , and . Technical report, CS-TR-07-2. Computer Science, Victoria University of Wellington, New Zealand, (November 2007)Genetic Algorithms and Neural Networks for Object Detection. Genetic and Evolutionary Computation for Image Processing and Analysis, chapter 20, Hindawi Publishing Corporation, (2007)Improving Fitness Function and Optimising Training Data in GP for Object Detection, and . CS-TR-06-8. Computer Science, Victoria University of Wellington, New Zealand, (2006)Applying Online Gradient Descent Search to Genetic Programming, and . CS-TR-03-13. Computer Science, Victoria University of Wellington, New Zealand, (2003)Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification Research Frontier., , , and . IEEE Comput. Intell. Mag., 16 (1): 84-98 (2021)Experience of Teaching Computational Intelligence in an Undergraduate Level Course Educational Forum.. IEEE Comput. Intell. Mag., 6 (3): 57-59 (2011)A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm., , , , and . Remote. Sens., 13 (12): 2414 (2021)Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling., , , , and . IEEE Trans. Evol. Comput., 25 (4): 651-665 (2021)