A hybrid genetic algorithm with local search and tabu search approaches for solving the post enrolment based course timetabling problem: Outperforming guided search genetic algorithm
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7397554/7408893/07408907.pdf?arnumber=7408907
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
1. Optimization Techniques in University Timetabling Problem: Constraints, Methodologies, Benchmarks, and Open Issues;Computers, Materials & Continua;2023
2. A systematic mapping study on solving university timetabling problems using meta-heuristic algorithms;Neural Computing and Applications;2020-06-19
3. Automatic Examination Timetable Scheduling Using Particle Swarm Optimization and Local Search Algorithm;Data, Engineering and Applications;2019
4. Exploration of intelligent computing based on improved hybrid genetic algorithm;Cluster Computing;2018-03-05
5. A Hybrid Multi-objective Genetic Algorithm with a New Local Search Approach for Solving the Post Enrolment Based Course Timetabling Problem;Recent Advances in Information and Communication Technology 2016;2016
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