New Designs of k-means Clustering and Crossover Operator for Solving Traveling Salesman Problems using Evolutionary Algorithms-Reference-Cited by-同舟云学术

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New Designs of k-means Clustering and Crossover Operator for Solving Traveling Salesman Problems using Evolutionary Algorithms

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th International Joint Conference on Computational Intelligence
language:
Short-container-title:

Author:

Ali Ismail¹,Essam Daryl¹,Kasmarik Kathryn¹

Affiliation:

1. School of Engineering and Information Technology, University of New South Wales, Canberra and Australia, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 5 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

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3. A Discrete Differential Evolution Algorithm for a Military Fleet Modernization Problem;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18

4. Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art;European Journal of Operational Research;2022-01

5. Two-layered ant colony system to improve engraving robot’s efficiency based on a large-scale TSP model;Neural Computing and Applications;2020-11-18

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