Tree Optimization Based Heuristics and Metaheuristics in Network Construction Problems
July 03, 2020 Β· Declared Dead Β· π Computers & Operations Research
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Authors
Igor Averbakh, Jordi Pereira
arXiv ID
2007.03425
Category
cs.AI: Artificial Intelligence
Cross-listed
math.OC
Citations
6
Venue
Computers & Operations Research
Last Checked
4 months ago
Abstract
We consider a recently introduced class of network construction problems where edges of a transportation network need to be constructed by a server (construction crew). The server has a constant construction speed which is much lower than its travel speed, so relocation times are negligible with respect to construction times. It is required to find a construction schedule that minimizes a non-decreasing function of the times when various connections of interest become operational. Most problems of this class are strongly NP-hard on general networks, but are often tree-efficient, that is, polynomially solvable on trees. We develop a generic local search heuristic approach and two metaheuristics (Iterated Local Search and Tabu Search) for solving tree-efficient network construction problems on general networks, and explore them computationally. Results of computational experiments indicate that the methods have excellent performance.
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