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The vehicle routing problem (VRP) is a widely studied combinatorial optimization problem. We introduce a variant of the multidepot and periodic VRP (MDPVRP) and propose a heuristic initialized stochastic memetic algorithm to solve it. The main challenge in designing such an algorithm for a large combinatorial optimization problem is to avoid premature convergence by maintaining a balance between exploration...
Vehicle Routing Problem is the NP problem,and only can it get precise optimum when the problem is simple, so the intelligent elicitation algorithm becomes an important studied field. This paper adopts PSO to optimize VRP. The local search capacity of PSO is relatively weak,so this paper combines PSO with simulated annealing and designs the PSO based on SA using the characteristics that SA can accept...
The vehicle velocity of an operational system is recognized by the bridge responses with a pattern search algorithm in this paper, which provides an approach to monitor the vehicle velocity in civil engineering. The Pattern Search algorithm is represented by a preliminary numerical example. The operational bridge system is simplified to a moving mass and a simple supported beam, and the vibration...
In this plethora of increased competitiveness and globalization the effective management of the warehouse system is a challenging task. Realizing that proper scheduling of the warehouses is necessary to outperform the competitors on cost, lead time, and customer service basis (Koster, 1998); the proposed research focuses on optimization of warehouse scheduling problems. This research aims to minimize...
The standard simulated algorithm has been applied into vehicle routing problem, and it has the common defects of slow convergence and easily being trapped into local minima. In this paper, a new stochastic approach called the simulated annealing genetic algorithm is proposed to solve stochastic vehicle routing problems and the solution is then compared with that from simulated algorithm. Results from...
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