Titlebook: Evolutionary Multi-Criterion Optimization; 11th International C Hisao Ishibuchi,Qingfu Zhang,Aimin Zhou Conference proceedings 2021 Springe

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Results of the Game-Playing Experiments,ce to acceptable solutions. Modern population-based optimization algorithms, aided by recent advances in AI and machine learning, can also learn and utilize patterns of variables from past iterations to improve convergence in subsequent iterations – an approach termed .. In this paper, we discuss wa

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https://doi.org/10.1007/978-3-642-67798-4 solution set of dynamic multi-objective optimization problems (DMOPs) as soon as possible by effectively mining historical data. Since online machine learning can help algorithms dynamically adapt to new patterns in the data in machine learning community, this paper introduces Passive-Aggressive Re

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