Routing Sales Territory by Solving a Multi-objective TSP Variant with Evolutionary Algorithms-Reference-Cited by-同舟云学术

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Routing Sales Territory by Solving a Multi-objective TSP Variant with Evolutionary Algorithms

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)
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Author:

Menezes Sampaio Savio,Dantas Altino,Camilo-Junior Celso G.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8970220/8995176/08995216.pdf?arnumber=8995216

Cited by 4 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. A Scheme Library-Based Ant Colony Optimization with 2-Opt Local Search for Dynamic Traveling Salesman Problem;Computer Modeling in Engineering & Sciences;2023

2. A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches;Swarm and Evolutionary Computation;2022-02

3. Finding the global optimal solution in Dynamic multiple TSPTW with data-driven ACO;2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI);2021-10

4. A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems;IEEE Access;2021

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