원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.7 No.4
2014.08
pp.277-286
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. The University Timetabling Problem
2.1 Problem Description
2.2 Hard Constraints
2.3 Soft Constraints
2.4 The Objective Function
3. The Mathematical Model for UTP
3.1 Terminology
3.2 Data Structure and Variables
3.3 Concstraints
3.4 The Objective Function
4. Genetic Algorithm for UTP
4.1 Coding method
4.2 Initial Population
4.3 Selection
4.4 Crossover
4.5 Mutation
4.6 Population Evolution
4.7 The Checking Mechanism
5. A Case Study
5.1 Experimental Data
5.2 Parameter Settings
5.3 Experimental REsults
6. Conclusion
References
1. Introduction
2. The University Timetabling Problem
2.1 Problem Description
2.2 Hard Constraints
2.3 Soft Constraints
2.4 The Objective Function
3. The Mathematical Model for UTP
3.1 Terminology
3.2 Data Structure and Variables
3.3 Concstraints
3.4 The Objective Function
4. Genetic Algorithm for UTP
4.1 Coding method
4.2 Initial Population
4.3 Selection
4.4 Crossover
4.5 Mutation
4.6 Population Evolution
4.7 The Checking Mechanism
5. A Case Study
5.1 Experimental Data
5.2 Parameter Settings
5.3 Experimental REsults
6. Conclusion
References
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