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Decision of Multimodal Transportation Scheme Based on Swarm Intelligence
- Source :
- Mathematical Problems in Engineering, Vol 2014 (2014)
- Publication Year :
- 2014
- Publisher :
- Hindawi Limited, 2014.
-
Abstract
- In this paper, some basic concepts of multimodal transportation and swarm intelligence were described and reviewed and analyzed related literatures of multimodal transportation scheme decision and swarm intelligence methods application areas. Then, this paper established a multimodal transportation scheme decision optimization mathematical model based on transportation costs, transportation time, and transportation risks, explained relevant parameters and the constraints of the model in detail, and used the weight coefficient to transform the multiobjective optimization problems into a single objective optimization transportation scheme decision problem. Then, this paper is proposed by combining particle swarm optimization algorithm and ant colony algorithm (PSACO) to solve the combinatorial optimization problem of multimodal transportation scheme decision for the first time; this algorithm effectively combines the advantages of particle swarm optimization algorithm and ant colony algorithm. The solution shows that the PSACO algorithm has two algorithms’ advantages and makes up their own problems; PSACO algorithm is better than ant colony algorithm in time efficiency and its accuracy is better than that of the particle swarm optimization algorithm, which is proved to be an effective heuristic algorithm to solve the problem about multimodal transportation scheme decision, and it can provide economical, reasonable, and safe transportation plan reference for the transportation decision makers.
- Subjects :
- Mathematical optimization
Meta-optimization
Article Subject
business.industry
General Mathematics
Ant colony optimization algorithms
lcsh:Mathematics
Computer Science::Neural and Evolutionary Computation
General Engineering
Particle swarm optimization
Decision problem
lcsh:QA1-939
Swarm intelligence
Fuzzy transportation
lcsh:TA1-2040
ComputerApplications_MISCELLANEOUS
Artificial intelligence
Multi-swarm optimization
business
lcsh:Engineering (General). Civil engineering (General)
Metaheuristic
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 15635147
- Volume :
- 2014
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....7a4197d66c5fc58d8849fcb3da5e0dbd