A simulation environment for evaluation of routing algorithms for improvement of electromobility related services

Publication Type

Journal Article

Publication Date

3-2018

Abstract

This paper describes the formulation and simulation of an optimization algorithm for a remote valet charging service for electric vehicles in Singapore. The problem is formulated as a modified Sequential Ordering Problem (SOP) for multiple clusters, and a simulation tool is created for the development and analysis of proposed solutions.Two Genetic Algorithm based approaches with differing crossover functions are then described as candidate solutions, and compared with a greedy search-based approach. The number of nodes in the simulation environment is then scaled up, and the performance of the Genetic Algorithm based approaches are then evaluated.

Keywords

Electromobility, Multiple clusters, Optimization algorithms, Sequential ordering problems, Simulation environment, Singapore

Discipline

Theory and Algorithms

Research Areas

Intelligent Systems and Optimization; Data Science and Engineering

Publication

IEEE Intelligent Transportation Systems Magazine

Volume

10

Issue

1

First Page

133

Last Page

144

ISSN

1939-1390

Identifier

10.1109/MITS.2017.2776122

Publisher

Institute of Electrical and Electronics Engineers

Additional URL

http://doi.org/10.1109/MITS.2017.2776122

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