Titlebook: Exact and Heuristic Methods in Combinatorial Optimization; A Study on the Linea Rafael Martí,Gerhard Reinelt Book 2022Latest edition Spring

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清晰

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

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不合

Rafael Martí,Gerhard ReineltSelf-contained monograph on algorithmic issues related to the linear ordering problem.Accessible without deep mathematical background.Comprehensive general introduction

Demonstrate

增減字母法

https://doi.org/10.1007/978-3-662-64877-3Combinatorial optimization; Exact methods; Heuristics and Metaheuristics; Linear ordering; Diversity pro

Arb853

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.

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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

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.