This paper presents a design and analyzes the performance of a relocation planner for electric vehicle sharing system, aiming at reducing management cost and enhancing service ratio by avoiding service degradation stemmed from stock imbalance. The proposed planner creates a set of relocation pairs, each of which consists of an overflow station and an underflow station for respective relocation teams. To simultaneously determine the team-by-team number of staff members and relocation pairs based on the genetic algorithm, each plan is encoded by an integer-valued vector composed of relocation pair and staff allocation parts. The relocation pair part translates individual station matching, complementarily combining overflow and underflow indices as well as including negative number separators. The staff part indicates the number of staff members for each team and thus how many identical pairs can be merged. Genetic operators are allowed only in the relocation pair part, while the fitness function gives precedence to a balanced plan. The performance measurement result, obtained by a prototype implementation, shows that our planner outperforms the reference scheme by up to 53.0 % for given parameter setting.
목차
Abstract 1. Introduction 2. System Model 3. Relocation Scheduler 4. Experiment Result 5. Concluding remarks References
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
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 Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.9 No.3