"A class of Euclidean routing problems with general route cost functions"
©
Mathematics of Operations Research,
May
1990
Publication type: Journal article Research Archive Topic: Operations AbstractIn most vehicle routing problems, a given set of customers is to be partitioned into a collection of regions each of which is assigned to a single vehicle starting at a depot and returning there after visiting all of the region's customers exactly once in a route. In this paper we consider problem settings where the cost of a route may depend on its length ϑ as well as m, the number of points on the route, according to some general function f(ϑ,m), assumed to be nondecreasing and concave in ϑ. We describe a class of O(N logN) or O(N2) heuristics and show under mild probabilistic assumptions that the solutions generated are asymptotically optimal. We also show that lower and upper bounds on the system-wide costs may be computed (with even simpler procedures) and that these bounds are asymptotically tight under the same assumptions. Each author name for a Columbia Business School faculty member is linked to a faculty research page, which lists additional publications by that faculty member. Each topic is linked to an index of publications on that topic. |
|
|