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논문 기본 정보

자료유형
학술저널
저자정보
Ismail Karaoglan (Selcuk University) Fulya Altiparmak (Gazi University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제10권 제1호
발행연도
2011.3
수록면
24 - 33 (10page)

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In this paper, we consider the Location-Routing Problem with simultaneous pickup and delivery (LRPSPD) which is a general case of the location-routing problem. The LRPSPD is defined as finding locations of the depots and designing vehicle routes in such a way that pickup and delivery demands of each customer must be performed with same vehicle and the overall cost is minimized. Since the LRPSPD is an NP-hard problem, we propose a hybrid heuristic approach based on genetic algorithms (GA) and simulated annealing (SA) to solve the problem. To evaluate the performance of the proposed approach, we conduct an experimental study and compare its results with those obtained by a branch-and-cut algorithm on a set of instances derived from the literature. Computational results indicate that the proposed hybrid algorithm is able to find optimal or very good quality solutions in a reasonable computation time.

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Abstract
1. INTRODUCTION
2. PROBLEM DEFINITION AND MATHEMATICAL MODEL
3. PROPOSED HYRBID GENETIC ALGORITHM
4. COMPUTATIONAL RESULTS
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

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UCI(KEPA) : I410-ECN-0101-2013-530-003635921