Multi Constrained Route Optimization for Electric Vehicles (EVs) using Simulated Evolution (SimE)

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概要

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• Route Optimization (RO) is an important feature of Electric Vehicles (EVs) navigation systems. This work performs the RO for EVs using the Multi Constrained Optimal Path (MCOP) problem. The proposed MCOP problem aims to minimize the length of the path and meets constraints on travelling time, time delay due to traffic signals, recharging time and recharging cost. The optimization is performed through a design of Simulated Evolution (SimE) which has innovative problem specific goodness and allocation operations. The simulations using Java shows that the proposed algorithm has obtained performance equal to or better than GA. It requires memory which is 1.65 times lesser than GA. Therefore, we can conclude that it is suitable for implementation on the embedded system of an EV.

• 2011-09-08

著者

• Yoichi Shiraishi

  Department Of Production Science And Technology Gunma University

• Yoichi Shiraishi

  Department Of Production Science & Technology Gunma University Gunma Japan

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