This paper designs a tour recommendation scheme for electric vehicles and analyzes its performance. Aiming at reducing the time waste brought by long charging time, the recommender not just decides a visiting and charging schedule for the given set of user-selected tour spots but also integrate additional places, which have chargers and provide tour activities. Genetic operators, such as reproduction, selection, and mutation, are tailored to create a combinatory schedule of essential selected and optional recommended spots based on a hybrid orienteering model. Its encoding scheme represents a visiting order by a fixed-length integer-valued vector, allowing the omission of recommendable spots. In addition, the fitness function estimates time waste by tracing the battery charge state based on the inter-destination distance and stay time along a given route. The performance measurement result obtained from a prototype implementation discovers that our recommendation service can reduce the time waste by up to 12 % for the practical range of parameter setting, compared with the legacy tour scheduling method.
목차
Abstract 1. Introduction 2. Related Work 3. Tour Recommender Design 3.1. Basic Idea 3.2. Encoding Scheme and Object Function 3.3. Genetic Search Scheme Design 4. Performance Measurement 5. Conclusions References
키워드
electric vehicletour schedulehybrid orienteering modelgenetic algorithmwaiting time
저자
Junghoon Lee [ Department of Computer Science and Statistics Jeju National University Republic of Korea ]
Gyung-Leen Park [ Department of Computer Science and Statistics Jeju National University Republic of Korea ]
Corresponding author.
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.7