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Worst and Generalized Severity Evaluation for Evolutionary Dynamic Multi-objective Optimization.

, , and . SSCI, page 1012-1020. IEEE, (2022)

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Evolving Solutions to the School Timetabling Problem., and . NaBIC, page 1524-1527. IEEE, (2009)A Genetic Programming System for the Induction of Novice Programming Problems in Intelligent Programming Tutors. Intech' 2001: 2nd International Conference on Intelligent Technologies, page 180--192. Faculty of Science and Technology, Assumption University, Bangkok, Thailand, (27-29 November 2001)An application of genetic algorithms to the school timetabling problem., and . SAICSIT, volume 338 of ACM International Conference Proceeding Series, page 193-199. ACM, (2008)Solving the 8-puzzle problem using genetic programming., , and . SAICSIT, page 64-67. ACM, (2013)A study into the use of hyper-heuristics to solve the school timetabling problem.. SAICSIT, page 258-264. ACM, (2010)A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems., , , , , and . CEC, page 1-8. IEEE, (2022)Automated Design of Hybrid Metaheuristics: A Fitness Landscape Analysis., and . CEC, page 1-8. IEEE, (2022)A Study of Genetic Algorithms to Solve the School Timetabling Problem., and . MICAI (2), volume 8266 of Lecture Notes in Computer Science, page 64-80. Springer, (2013)A Generative Hyper-Heuristic for Deriving Heuristics for Classical Artificial Intelligence Problems.. NaBIC, volume 419 of Advances in Intelligent Systems and Computing, page 337-346. Springer, (2015)Evolving Heuristic Based Game Playing Strategies for Checkers Incorporating Reinforcement Learning., and . NaBIC, volume 419 of Advances in Intelligent Systems and Computing, page 165-178. Springer, (2015)