원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.8 No.1
2015.02
pp.227-236
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Study the problem of logistic scheduling problem with fuzzy time window, construct mathematical model, and propose double objective function method. In the solution process, for the feature of the double objective functions, use the phased. In the first phase, use the chaos PSO to get the optimal solution. In the second phase, use simulated annealing algorithm and the preliminary solutions got from the first phase to solute the objective function.
목차
Abstract
1. Introduction
2. The Mathematical Model of the Logistic Scheduling Problem with Fuzzy Time Window
2.1 Description of the Problem of Logistic Scheduling Problem with Fuzzy Time Window
2.2 The Mathematical Model of Problem of Logistic Scheduling Problem with Fuzzy Time Window
3. Phased Method to Solve Problem of Logistic Scheduling Problem with Fuzzy Time Window
4. The Solution of the First Stage
4.1 Chaos PSO Optimization by Logistic Function
4.2 The Solution Process of the cChaos PSO Optimized by Logistic Function
5. Solve the Second Phase using Simulated Annealing Algorithm
5.1 The Mechanism of the Simulated Annealing Algorithm
5.2 Algorithm Process
6. Experiment Results and Analysis
7. Summary
Acknowledgements
References
1. Introduction
2. The Mathematical Model of the Logistic Scheduling Problem with Fuzzy Time Window
2.1 Description of the Problem of Logistic Scheduling Problem with Fuzzy Time Window
2.2 The Mathematical Model of Problem of Logistic Scheduling Problem with Fuzzy Time Window
3. Phased Method to Solve Problem of Logistic Scheduling Problem with Fuzzy Time Window
4. The Solution of the First Stage
4.1 Chaos PSO Optimization by Logistic Function
4.2 The Solution Process of the cChaos PSO Optimized by Logistic Function
5. Solve the Second Phase using Simulated Annealing Algorithm
5.1 The Mechanism of the Simulated Annealing Algorithm
5.2 Algorithm Process
6. Experiment Results and Analysis
7. Summary
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보