State-Space Search : Algorithms, Complexity, Extensions, and Applications

Weixiong Zhang

ISBN 10: 1461271835 / ISBN 13: 9781461271833

Published by Springer New York, Springer New York, 2012

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book is about problem solving. Specifically, it is about heuristic state-space search under branch-and-bound framework for solving com binatorial optimization problems. The two central themes of this book are the average-case complexity of heuristic state-space search algorithms based on branch-and-bound, and their applications to developing new problem-solving methods and algorithms. Heuristic state-space search is one of the fundamental problem-solving techniques in Computer Science and Operations Research, and usually constitutes an important component of most intelligent problem-solving systems. The search algorithms considered in this book can be classified into the category of branch-and-bound. Branch-and-bound is a general problem-solving paradigm, and is one of the best techniques for optimally solving computation-intensive problems, such as scheduling and planning. The main search algorithms considered include best-first search, depth first branch-and-bound, iterative deepening, recursive best-first search, and space-bounded best-first search. Best-first search and depth-first branch-and-bound are very well known and have been used extensively in Computer Science and Operations Research. One important feature of depth-first branch-and-bound is that it only requires space this is linear in the maximal search depth, making it very often a favorable search algo rithm over best-first search in practice. Iterative deepening and recursive best-first search are the other two linear-space search algorithms. Iterative deepening is an important algorithm in Artificial Intelligence, and plays an irreplaceable role in building a real-time game-playing program.

Seller Inventory # 9781461271833

Bibliographic Details

• Title: State-Space Search : Algorithms, Complexity, Extensions, and Applications
• Publisher: Springer New York, Springer New York
• Publication Date: 2012
• Language: English
• ISBN 10: 1461271835
• ISBN 13: 9781461271833
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This book is about problem-solving. In particular it is about heuristic state-space search for combinatorial optimization - one of the fundamental problems of computer science. Written for researchers in computer science, the author presupposes a basic familiarity with complexity theory. In addition, it is assumed that the reader is familiar with the basic concepts of random variables and recursive functions.