메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
The Jin Ai (Universitas Atma Jaya Yogyakarta) Jeffry Setyawan Pribadi (Universitas Atma Jaya Yogyakarta) Vincensius Ariyono (Universitas Atma Jaya Yogyakarta)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제12권 제3호
발행연도
2013.9
수록면
198 - 206 (9page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The team orienteering problem (TOP) or the multiple tour maximum collection problem can be considered as a generic model that can be applied to a number of challenging applications in logistics, tourism, and other fields. This problem is generally defined as the problem of determining P paths, in which the traveling time of each path is limited by T<SUB>max</SUB> that maximizes the total collected score. In the TOP, a set of N vertices i is given, each with a score Si. The starting point (vertex 1) and the end point (vertex N) of all paths are fixed. The time tij needed to travel from vertex i to j is known for all vertices. Some exact and heuristics approaches had been proposed in the past for solving the TOP. This paper proposes a new solution methodology for solving the TOP using the particle swarm optimization, especially by proposing a solution representation and its decoding method. The performance of the proposed algorithm is then evaluated using several benchmark datasets for the TOP. The computational results show that the proposed algorithm using specific settings is capable of finding good solution for the corresponding TOP instance.

목차

ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. PSO FOR SOLVING TOP
4. COMPUTATIONAL RESULT
5. CONCLUSION AND FURTHER STUDY
REFERENCES

참고문헌 (18)

참고문헌 신청

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2014-500-002847983