A simulation environment for evaluation of routing algorithms for improvement of electromobility related services
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 developme...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8203 |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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. |
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