An effective cooperative coevolution framework integrating global and local search for large scale optimization problems
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7229815/7256859/07257129.pdf?arnumber=7257129
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. RoCaSH2: An Effective Route Clustering and Search Heuristic for Large-Scale Multi-Depot Capacitated Arc Routing Problem;IEEE Computational Intelligence Magazine;2023-11
2. A fast interpolation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization problems;2023-03-22
3. Merged Differential Grouping for Large-Scale Global Optimization;IEEE Transactions on Evolutionary Computation;2022-12
4. Large-Scale Expensive Optimization with a Switching Strategy;Complex System Modeling and Simulation;2022-09
5. Training Quantized Deep Neural Networks via Cooperative Coevolution;Lecture Notes in Computer Science;2022
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