| State-Space Search: Algorithms, Complexity, Extensions, and Applications Softcover Repri Edition Contributor(s): Zhang, Weixiong (Author) |
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ISBN: 1461271835 ISBN-13: 9781461271833 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: September 2012 |
| Additional Information |
| BISAC Categories: - Computers | Computer Science - Computers | Programming - Algorithms - Computers | Intelligence (ai) & Semantics |
| Dewey: 519.76 |
| Physical Information: 0.47" H x 6.14" W x 9.21" (0.70 lbs) 201 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |