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In this paper, we develop and discuss several distance measures for permutation type representations of solutions of combinatorial op-timisation problems. The problems discussed include single-machine and multiple-machine scheduling problems, the travelling salesman problem, vehicle routing problems, and many others. The distance measures are based on the(More)
The traveling repairman problem is a customer-centric routing problem, in which the total waiting time of the customers is minimized, rather than the total travel time of a vehicle. To date, research on this problem has focused on exact algorithms and approximation methods. This paper presents the first metaheuristic approach for the traveling repairman(More)
This paper focuses on the automatic interaction detection (AID)-technique, which belongs to the class of decision tree data mining techniques. The AID-technique explains the variance of a dependent variable through an exhaustive and repeated search of all possible relations between the (binary) predictor variables and the dependent variable. This search(More)
In recent years, the field of combinatorial optimization has witnessed a true tsunami of " novel " metaheuristic methods, most of them based on a metaphor of some natural or man-made process. The behavior of virtually any species of insects, the flow of water, musicians playing together – it seems that no idea is too far-fetched to serve as inspiration to(More)