Copertina di Solving permutation-based combinatorial optimisation problems
Titolo del libro:

Solving permutation-based combinatorial optimisation problems

with estimation of distribution algorithms and extensions thereof

LAP LAMBERT Academic Publishing (28.01.2015 )

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Risvolto di copertina:
In computer science, optimisation is the topic that consists of selecting the best solution(s) from a set of available solutions with regard to some criteria. Optimisation problems are usually divided into two categories: continuous problems and combinatorial problems. In this book, we focus on a particular set of combinatorial problems where the solutions are naturally codified as permutations. These problems, refer to as permutation problems, appear in a vast range of domains, such as graph theory, mathematical psychology or bioinformatics, and particularly, in logistic areas such as routing, scheduling or assignment. Due to the influence that the codification of a solution has in the development of algorithms, permutation problems have been a recurrent topic in the optimisation community. With the aim of solving these problems, in this book we introduce advances in the framework of estimation of distribution algorithms, analyse the problems in the context of local search algorithms, and design a general purpose multi-objectivization procedure. The schemes proposed in this book demonstrate their effectiveness outperforming state-of-the-art results in many problems.
Casa editrice:
LAP LAMBERT Academic Publishing
Sito Web:
Da (autore):
Josu Ceberio
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Pubblicato il:
Giacenza di magazzino:
Informatica, Elaborazione elettronica dati
93,82 $
Parole chiave:
Estimation of Distribution Algorithms, Optimisation, Permutations Problems, Probability Models, Fitness Landscapes

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