remission
发表于 2025-3-23 10:36:11
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清晰
发表于 2025-3-23 13:51:45
0066-5452 hensive general introduction.In the last decades, algorithmic advances as well as hardware and software improvements have provided an excellent environment to create and develop solving methods to hard optimization problems. Modern exact and heuristic techniques are dramatically enhancing our abilit
同音
发表于 2025-3-23 19:17:28
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不合
发表于 2025-3-23 23:32:15
Rafael Martí,Gerhard ReineltSelf-contained monograph on algorithmic issues related to the linear ordering problem.Accessible without deep mathematical background.Comprehensive general introduction
Demonstrate
发表于 2025-3-24 03:18:42
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增减字母法
发表于 2025-3-24 10:25:22
https://doi.org/10.1007/978-3-662-64877-3Combinatorial optimization; Exact methods; Heuristics and Metaheuristics; Linear ordering; Diversity pro
Arb853
发表于 2025-3-24 14:41:53
https://doi.org/10.1057/9781137380586This chapter focuses on the approach for solving the LOP to optimality which can currently be seen as the most successful one. It is a branch-and-bound algorithm, where the upper bounds are computed using linear programming relaxations.
textile
发表于 2025-3-24 18:25:14
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Firefly
发表于 2025-3-24 21:06:28
Branch-and-Cut for the LOP,This chapter focuses on the approach for solving the LOP to optimality which can currently be seen as the most successful one. It is a branch-and-bound algorithm, where the upper bounds are computed using linear programming relaxations.
Individual
发表于 2025-3-25 00:47:00
Further Aspects,In this chapter we want to address some issues of interest for the LOP which we have not included in the previous chapters and point to some areas for possible further research. Additionally, in the last section, we consider some extensions of the MDP that include side constraints to model real problems in location and business.