Titlebook: Bioinspired Optimization Methods and Their Applications; 10th International C Marjan Mernik,Tome Eftimov,Matej ?repin?ek Conference proceed

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https://doi.org/10.1007/978-3-658-20195-1ximates the Pareto frontier by connecting inherent non-dominated solutions. This approximation enables the analysis of the relationship between the weighted space and the limit of effective networks the space can generate quantitatively. Several experiments are carried out, and the result infers tha

向外

Kiebitzinseln in der Agrarlandschaftethod we can easily employ Independent Q-learning to train a team of agents, which facilitates robustness and scalability. By evaluating our approach on the Battlefield task from the MAgent implementation in the PettingZoo library, we observe that the evolved team of agents is able to coordinate its

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Bioinspired Optimization Methods and Their Applications10th International C

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,CSS–A Cheap-Surrogate-Based Selection Operator for?Multi-objective Optimization,ree with low computational complexity, resulting in an accelerated surrogate process. Moreover, a new EMOEA is proposed by integrating spherical search as the core optimizer with the proposed selection scheme. Over a wide variety of benchmark problems, we show that the proposed method outperforms se

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laceration