Dynamic Potential Search: A New Bounded Suboptimal Search Algorithm - Couverture souple

Gilon, Daniel

 
9786137338070: Dynamic Potential Search: A New Bounded Suboptimal Search Algorithm
Couverture souple
ISBN 10 : 613733807X ISBN 13 : 9786137338070
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

Potential Search (PS) is an algorithm that is designed to solve bounded cost search problems. In bounded cost search we are given a fixed cost-bound and the task is to find a solution (if one exists) with a cost lower than the given bound. A bounded suboptimal search problem is similar to bounded suboptimal search in the manner that it also has an upper bound on the desired solution, but here the bound is given relative to the optimal solution and is not fixed, hence bounded suboptimal. we give a general rule on how to migrate algorithms that were designed to solve bounded cost search problems into ones that can solve bounded suboptimal search problems and vice versa. We show that this can be done for most of the known algorithms and thus improve our understanding of their relation and difference. In this book, we modify PS to work within the framework of bounded suboptimal search and introduce Dynamic Potential Search (DPS). DPS uses the idea of PS but modifies the cost-bound to be the product of the minimal f-value in OPEN and the required suboptimal bound.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Potential Search (PS) is an algorithm that is designed to solve bounded cost search problems. In bounded cost search we are given a fixed cost-bound and the task is to find a solution (if one exists) with a cost lower than the given bound. A bounded suboptimal search problem is similar to bounded suboptimal search in the manner that it also has an upper bound on the desired solution, but here the bound is given relative to the optimal solution and is not fixed, hence bounded suboptimal. we give a general rule on how to migrate algorithms that were designed to solve bounded cost search problems into ones that can solve bounded suboptimal search problems and vice versa. We show that this can be done for most of the known algorithms and thus improve our understanding of their relation and difference. In this book, we modify PS to work within the framework of bounded suboptimal search and introduce Dynamic Potential Search (DPS). DPS uses the idea of PS but modifies the cost-bound to be the product of the minimal f-value in OPEN and the required suboptimal bound.

Biographie de l'auteur

Daniel Gilon holds a M.Sc degree in Information System Engineering from the Ben-Gurion University. His research interests are Algorithm Development for combinatoric problems and Games, especially when looking for a solution that is not optimal.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
613733807X
ISBN 13 
9786137338070
Reliure
Broché
Nombre de pages
56
Coordonnées du fabricant
non disponible
Personne responsable
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