Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSO
In this paper, the optimization issue of electric vehicle charging station layout (EVCSL) for tourist attractions is addressed, and an improved PSO is used to solve the optimization issue. Specifically, the improved particle swarm optimization (PSO) is proposed to obtain an appreciative planning sol...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/2/983 |
| _version_ | 1797443041360871424 |
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| author | Shuang Che Yan Chen Longda Wang |
| author_facet | Shuang Che Yan Chen Longda Wang |
| author_sort | Shuang Che |
| collection | DOAJ |
| description | In this paper, the optimization issue of electric vehicle charging station layout (EVCSL) for tourist attractions is addressed, and an improved PSO is used to solve the optimization issue. Specifically, the improved particle swarm optimization (PSO) is proposed to obtain an appreciative planning solution of EVCSL, and dynamic weight adjustment strategy and integration into the two-population genetic mode are proposed to improve the optimization quality for PSO. Simulation results show that the proposed improvement strategies can increase the optimization quality for PSO effectively so that a more appreciative planning solution of EVCSL can be obtained. |
| first_indexed | 2024-03-09T12:50:23Z |
| format | Article |
| id | doaj.art-d5f610fc4ce143cab50aef71d917211c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T12:50:23Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d5f610fc4ce143cab50aef71d917211c2023-11-30T22:07:49ZengMDPI AGEnergies1996-10732023-01-0116298310.3390/en16020983Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSOShuang Che0Yan Chen1Longda Wang2School of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, ChinaSchool of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, ChinaSchool of Automation and Electrical Engineering, Dalian Jiaotong University, Dalian 116028, ChinaIn this paper, the optimization issue of electric vehicle charging station layout (EVCSL) for tourist attractions is addressed, and an improved PSO is used to solve the optimization issue. Specifically, the improved particle swarm optimization (PSO) is proposed to obtain an appreciative planning solution of EVCSL, and dynamic weight adjustment strategy and integration into the two-population genetic mode are proposed to improve the optimization quality for PSO. Simulation results show that the proposed improvement strategies can increase the optimization quality for PSO effectively so that a more appreciative planning solution of EVCSL can be obtained.https://www.mdpi.com/1996-1073/16/2/983electric vehicle charging station layout (EVCSL)tourist attractionsimproved particle swarm optimization (PSO)two-population genetic mode |
| spellingShingle | Shuang Che Yan Chen Longda Wang Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSO Energies electric vehicle charging station layout (EVCSL) tourist attractions improved particle swarm optimization (PSO) two-population genetic mode |
| title | Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSO |
| title_full | Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSO |
| title_fullStr | Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSO |
| title_full_unstemmed | Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSO |
| title_short | Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSO |
| title_sort | electric vehicle charging station layout for tourist attractions based on improved two population genetic pso |
| topic | electric vehicle charging station layout (EVCSL) tourist attractions improved particle swarm optimization (PSO) two-population genetic mode |
| url | https://www.mdpi.com/1996-1073/16/2/983 |
| work_keys_str_mv | AT shuangche electricvehiclechargingstationlayoutfortouristattractionsbasedonimprovedtwopopulationgeneticpso AT yanchen electricvehiclechargingstationlayoutfortouristattractionsbasedonimprovedtwopopulationgeneticpso AT longdawang electricvehiclechargingstationlayoutfortouristattractionsbasedonimprovedtwopopulationgeneticpso |