Heuristic Search for Network Design
Ioannis Gamvros (),
Bruce Golden (),
S. Raghavan () and
Daliborka Stanojević ()
Additional contact information
Ioannis Gamvros: University of Maryland
Bruce Golden: University of Maryland
S. Raghavan: University of Maryland
Daliborka Stanojević: University of Maryland
Chapter Chapter 1 in Tutorials on Emerging Methodologies and Applications in Operations Research, 2005, pp 1-1-1-46 from Springer
Abstract:
Abstract In this chapter, we focus on heuristics for network design problems. Network design problems have many important applications and have been studied in the operations research literature for almost 40 years. Our goal here is to present usefull guidelines for the design of intelligent heuristic search methods for this class of problems. Simple heuristics, local search, simulated annealing, GRASP, tabu search, and genetic algorithms are all discussed. We demonstrate the effective application of heuristic search techniques, and in particular genetic algorithms, to four specific network design problems. In addition, we present a selected annotated bibliography of recent applications of heuristic search to network design.
Keywords: Heuristics; Local Search; Network Design; Genetic Algorithms (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-0-387-22827-3_1
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DOI: 10.1007/0-387-22827-6_1
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