Best-Worst Ant Colony System Parameter Investigation by Using Experimental Design and Analysis for Course Timetabling Problem
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx5/5473909/5474422/05474453.pdf?arnumber=5474453
Cited by 13 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. SimU-TACS: Ant Colony System for a planning problem in health simulation training;Applied Soft Computing;2023-11
2. Optimization Techniques in University Timetabling Problem: Constraints, Methodologies, Benchmarks, and Open Issues;Computers, Materials & Continua;2023
3. Performance improvement strategies on Cuckoo Search algorithms for solving the university course timetabling problem;Expert Systems with Applications;2020-12
4. A systematic mapping study on solving university timetabling problems using meta-heuristic algorithms;Neural Computing and Applications;2020-06-19
5. Academic Operating Costs Optimisation Using Hybrid MCPSO Based Course Timetabling Tool;Blended Learning. Education in a Smart Learning Environment;2020
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