Genetic Algorithms: A New Approach to the Timetable Problem-Reference-Cited by-同舟云学术

Genetic Algorithms: A New Approach to the Timetable Problem

Published:1992 Issue: Volume: Page:235-239
ISSN:
Container-title:Combinatorial Optimization
language:
Short-container-title:

Author:

Colorni Alberto,Dorigo Marco,Maniezzo Vittorio

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-77489-8_14.pdf

Reference7 articles.

1. Chahal, N., and D. deWerra. An interactive system for constructing timetables on a PC. European Journal of Operational Research, 40 (1), 1989.

2. Davis, L., and F. Ritter. Schedule optimization with probabilistic search. Proc. 3rd IEEE Conference on Artificial Intelligence Applications, Orlando, Florida, February 1987.

3. De Jong, K. A.,and W. M. Spears. Using genetic algorithms to solve NP-complete problems. Proc. 3rd Int. Conference on Genetic Algorithms and Their Applications, George Mason University, June 1989.

4. M. Dorigo. Genetic algorithms:The state of the art and some research proposal. Technical Report No. 89–058, Polytecnico di Milano, Italy, 1989.

5. Even, S., A. Itai, and A. Shamir. On the complexity of timetable and multicommodity flow problems. SIAM Journal of Computing, 5 (4), December 1976.

Cited by 14 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 Hybrid Discrete Memetic Algorithm for Solving Flow-Shop Scheduling Problems;Algorithms;2023-08-26

2. UAV 3D Environmental Track Planning Based on Improved Ant Colony Algorithm;Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022);2023

3. Implementing Balas additive algorithm using SIMD instructions;2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO);2022-05-23

4. A Genetic Algorithm for the Real-world University Course Timetabling Problem;2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA);2022-05-12

5. Swarm Intelligence: A Review of Optimization Algorithms Based on Animal Behavior;Recent Advances of Hybrid Intelligent Systems Based on Soft Computing;2020-11-07