Effective Algorithms for a Bounded Version of the Uncapacitated TPP

Renata Mansini () and Barbara Tocchella ()
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Renata Mansini: University of Brescia
Barbara Tocchella: University of Brescia

Chapter 14 in Innovations in Distribution Logistics, 2009, pp 267-281 from Springer

Abstract: Summary Let us consider a set of markets plus a depot and a set of products. Each product is made available at a given price in a subset of markets. The distance between each couple of markets and between each market and the depot is known. The Uncapacitated Traveling Purchaser Problem with Budget constraint (UTPP-B) looks for a simple cycle starting at and ending to the depot which visits a subset of markets at the minimum traveling cost while purchasing all products at a global cost that does not exceed a defined budget threshold. Although the problem arises in several application domains very few contributions exist in the literature for the UTPP-B. We propose and compare two solution algorithms for the problem, an enhanced local search heuristic and a Variable Neighborhood Search (VNS) approach. UTPP benchmark instances with additional budget constraints are used for computational experiments. Heuristic performances are compared to exact solution values provided in [13] while solving with a single-objective hierarchical approach a bi-objective UTPP.

Keywords: Local Search; Budget Constraint; Travel Salesman Problem; Pareto Optimal Solution; Variable Neighborhood Search (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-3-540-92944-4_14

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