Genetic Algorithm with Machine Learning to Estimate the Optimal Objective Function Values of Subproblems
Author:
Affiliation:
1. Kyoto Institute of Technology, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3533050.3533051
Reference14 articles.
1. R. Said M. Elarbi S. Bechikh and L. B. Said. 2021. Solving combinatorial bi-level optimization problems using multiple populations and migration schemes. Operational Research (January 2021). https://doi.org/10.1007/s12351-020-00616-z 10.1007/s12351-020-00616-z
2. R. Said M. Elarbi S. Bechikh and L. B. Said. 2021. Solving combinatorial bi-level optimization problems using multiple populations and migration schemes. Operational Research (January 2021). https://doi.org/10.1007/s12351-020-00616-z
3. An optimal energy-efficient clustering method in wireless sensor networks using multi-objective genetic algorithm
4. W. Yu C. Ha and S. Park. 2021. A Hybrid Genetic Algorithm for Integrated Truck Scheduling and Product Routing on the Cross-Docking System with Multiple Receiving and Shipping Docks. Mathematical Problems in Engineering (March 2021). https://doi.org/10.1155/2021/2026834 10.1155/2021
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1. Machine Learning and Human Unlearning;Lecture Notes in Networks and Systems;2024
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