Bioinspired optimization methods and...
BIOMA (Conference) (2022 :)

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  • Bioinspired optimization methods and their applications = 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17-18, 2022 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Bioinspired optimization methods and their applications/ edited by Marjan Mernik, Tome Eftimov, Matej Crepinsek.
    其他題名: 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17-18, 2022 : proceedings /
    其他題名: BIOMA 2022
    其他作者: Mernik, Marjan.
    團體作者: BIOMA (Conference)
    出版者: Cham :Springer International Publishing : : 2022.,
    面頁冊數: x, 277 p. :ill. (chiefly color), digital ;24 cm.
    內容註: An agent-based model to investigate different behaviours in a crowd simulation -- Accelerating Evolutionary Neural Architecture Search for Remaining Useful Life Prediction -- ACOCaRS: Ant Colony Optimization Algorithm for Traveling Car Renter Problem -- A new type of anomaly detection problem in dynamic graphs: An ant colony optimization approach -- CSS- A Cheap-Surrogate-based Selection Operator for Multi-objective Optimization -- Empirical Similarity Measure for Metaheuristics -- Evaluation of Parallel Hierarchical Differential Evolution for Min-Max Optimization Problems Using SciPy -- Explaining Differential Evolution Performance Through Problem Landscape Characteristics -- Genetic improvement of TCP congestion avoidance -- Hybrid Acquisition Processes in Surrogate-based Optimization. Application to Covid-19 Contact Reduction -- Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System -- Modified Football Game Algorithm for Multimodal Optimization of Test Task Scheduling Problems Using Normalized Factor Random Key Encoding Scheme -- Performance Analysis of Selected Evolutionary Algorithms -- Refining Mutation Variants in Cartesian Genetic Programming -- Slime mould algorithm: An experimental study of nature-inspired optimizer -- SMOTE inspired extension for differential evolution -- The Influence of Local Search over Genetic Algorithms with Balanced Representations -- Trade-off of networks on weighted space analyzed via a method mimicking human walking track superposition -- Towards interpretable policies in multi-agent reinforcement learning tasksb.
    Contained By: Springer Nature eBook
    標題: Natural computation - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-21094-5
    ISBN: 9783031210945
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