Dynamic vehicle path planning using an enhanced simulated annealing approach for supply chains

Hui Miao and Xiaodi Huang

International Journal of Enterprise Network Management, 2012, vol. 5, issue 2, 197-218

Abstract: Evolutionary computation is an effective tool for solving optimisation problems. However, its significant computational demand has limited its real-time and online applications, e.g., mobile vehicles in supply chains. An enhanced SA approach incorporating with initial path selection heuristics and multiple mathematical operators is proposed in this paper for vehicle path planning in dynamic supply chain environments. It requires less computation times while giving better trade-offs among simplicity, far-field accuracy, and computational cost. The enhanced SA is analysed in several environments. The evaluation results demonstrate the ESA approach has the best performance for vehicle path planning in dynamic supply chains.

Keywords: vehicle path planning; dynamic supply chains; simulated annealing; genetic algorithms; heuristics; supply chain management; SCM. (search for similar items in EconPapers)
Date: 2012
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