An Efficient Soft Computing Approach for Solving the Two-Stage Transportation Problem with Fixed Costs
| Autor: | Ioana Zelina, Ovidiu Cosma, Petrica C. Pop |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Soft computing
0209 industrial biotechnology Mathematical optimization Optimization problem Heuristic (computer science) Computer science 02 engineering and technology Transportation theory 020901 industrial engineering & automation Order (exchange) Genetic algorithm 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing Fixed cost |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030200541 SOCO |
| DOI: | 10.1007/978-3-030-20055-8_50 |
| Popis: | Transportation problems are nowadays strategic issues which aim at selecting the routes to be opened between different facilities in order to achieve an efficient distribution strategy. This paper presents a soft computing approach for solving the two-stage transportation problem with fixed costs associated to the routes. Our developed a heuristic algorithm embeds an optimization problem within the framework of a genetic algorithm. Computational experiments were performed on two sets of benchmark instances available in the literature and the obtained results prove that our proposed solution approach is highly competitive in comparison with the existing approaches from the literature. |
| Databáze: | OpenAIRE |
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