Optimization of multi objective vehicle routing problem using a new hybrid algorithm based on particle swarm optimization and artificial bee colony algorithm considering Precedence constraints
| Autor: | Houman Mazaheripour, Davoud Sedighizadeh |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Engineering business.industry Ant colony optimization algorithms General Engineering Particle swarm optimization 02 engineering and technology 2-opt Engineering (General). Civil engineering (General) Travelling salesman problem Artificial bee colony algorithm 020901 industrial engineering & automation Vehicle routing problem 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Multi-swarm optimization TA1-2040 business Metaheuristic |
| Zdroj: | Alexandria Engineering Journal, Vol 57, Iss 4, Pp 2225-2239 (2018) |
| ISSN: | 1110-0168 |
| Popis: | The vehicle routing problem is the basic problem of distribution planning which seeks to find the best route with minimum displacement cost considering the number of customers, their constraints, and number and capacity of the available vehicles. In this study, the traveling salesman problem and vehicle routing models are firstly described and, after that, the multi objective vehicle routing model is proposed to consider the Precedence constraints among customers. There are different meta-heuristic algorithms that can solve such NP-hard problems. In the present study, a solver algorithm is proposed which is based on a combination of the particle swarm optimization and the artificial bee colony algorithms. Additionally, by presenting an operational sample, using data of customers in a region, considering different constraints of the problem and its functions, and using penalty method as well as additional segmentation constraint method, the best vehicle route is obtained and the results of each algorithm together with its hybrid algorithm are demonstrated. Keywords: Vehicle routing problem, Meta-heuristic algorithms, Particle swarm optimization, Artificial bee colony, Hybrid algorithm, Precedence constraints |
| Databáze: | OpenAIRE |
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