@inproceedings{de81a230144e406bbe8f4ae183257935,
title = "Multi-heuristics based genetic algorithm for solving maritime inventory routing problem",
abstract = "This paper discusses a multi-heuristics based Genetic Algorithm (GA) to solve maritime inventory routing problems (mIRP). The problem is to transport multiple oil products from a production facility to some consumption ports by using several heterogeneous ships with undedicated compartments. The objective of the problem is to find a minimum cost solution, while satisfying a number of technical and physical constraints, within a given planning horizon. The strategies to assign a ship are transformed to a set of heuristic combinations represented by a chromosome. At every iteration a number of chromosomes are evaluated and evolved within a GA framework. The approach has been applied on several test cases. The multi-heuristic results show that the best optimum values of the case problems are not different from the ones from a MILP method solved using Lingo, but they do so with a significant decrease in computation time.",
keywords = "Heuristics, inventory routing, scheduling",
author = "Nurhadi Siswanto and Daryl Essam and Ruhul Sarker",
year = "2011",
doi = "10.1109/IEEM.2011.6117890",
language = "English",
isbn = "9781457707391",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
pages = "116--120",
booktitle = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011",
note = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 ; Conference date: 06-12-2011 Through 09-12-2011",
}