An EDA-based Genetic Algorithm for EV Charging Scheduling under Surge Demand-Reference-Cited by-同舟云学术

An EDA-based Genetic Algorithm for EV Charging Scheduling under Surge Demand

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Services Computing (SCC)
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Author:

Li Tianyang¹,Li Xiaolong²,He Ting³,Zhang Yufeng⁴

Affiliation:

1. Northeast Electric Power University,School of Computer Science,Jilin,China

2. Harbin Branch, Bank of Inner Mongolia Co., Ltd,Harbin,China

3. Huaqiao University,College of Computer Science and Technology,Xiamen,China

4. University of Birmingham,Birmingham Business School,Birmingham,UK

Funder

Northeast Electric Power University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9859564/9860101/09860192.pdf?arnumber=9860192

Reference19 articles.

1. Metaheuristics for solving a real-world electric vehicle charging scheduling problem

2. Hybrid Heuristic and Metaheuristic for Solving Electric Vehicle Charging Scheduling Problem;basset;Evolutionary Computation in Combinatorial Optimization 21st European Conference EvoCOP 2021 Held as Part of EvoStar 2021 Virtual Event April 7-9 2021 Proceedings,2021

3. Solving multi-depot electric vehicle scheduling problem by column generation and genetic algorithm

4. Two-Layer Genetic Algorithm for the Charge Scheduling of Electric Vehicles

5. Electric Vehicle Charging Scheduling Strategy based on Genetic Algorithm

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