A novel memetic genetic algorithm for solving traveling salesman problem based on multi-parent crossover technique-Reference-Cited by-同舟云学术

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A novel memetic genetic algorithm for solving traveling salesman problem based on multi-parent crossover technique

Published:2019-10-15 Issue:2 Volume:2 Page:
ISSN:2560-6018
Container-title:Decision Making: Applications in Management and Engineering
language:
Short-container-title:Decis. Mak. Appl. Manag. Eng.

Author:

Roy Arindam, ,Manna Apurba,Maity Samir, ,

Publisher

Regional Association for Security and Crisis Management

Subject

General Earth and Planetary Sciences,General Environmental Science

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. CSRX: A Novel Crossover Operator for a Genetic Algorithm Applied to the Traveling Salesperson Problem;Data Science—Analytics and Applications;2024

2. A multi-parent genetic algorithm for solving longitude–latitude-based 4D traveling salesman problems under uncertainty;Decision Analytics Journal;2023-09

3. Predictive Machine Learning Algorithms for Metro Ridership Based on Urban Land Use Policies in Support of Transit-Oriented Development;Sustainability;2023-01-16

4. A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine;Cognitive Computation;2022-01-19

5. Improvements for mlrose Applied to the Traveling Salesperson Problem;Computer Aided Systems Theory – EUROCAST 2022;2022

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