Heuristic Search

Author : Stefan Edelkamp,Stefan Schroedl
Publisher : Elsevier
Page : 712 pages
File Size : 45,8 Mb
Release : 2011-05-31
Category : Computers
ISBN : 0080919731

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Heuristic Search by Stefan Edelkamp,Stefan Schroedl Pdf

Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as pattern databases and search with efficient use of external memory and parallel processing units on main boards and graphics cards are detailed. Heuristic search as a problem solving tool is demonstrated in applications for puzzle solving, game playing, constraint satisfaction and machine learning. While no previous familiarity with heuristic search is necessary the reader should have a basic knowledge of algorithms, data structures, and calculus. Real-world case studies and chapter ending exercises help to create a full and realized picture of how search fits into the world of artificial intelligence and the one around us. Provides real-world success stories and case studies for heuristic search algorithms Includes many AI developments not yet covered in textbooks such as pattern databases, symbolic search, and parallel processing units

Author : Pallab Dasgupta,P. P. Chakrabarti,S. C. DeSarkar
Publisher : Springer Science & Business Media
Page : 141 pages
File Size : 47,8 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783322868534

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Multiobjective Heuristic Search by Pallab Dasgupta,P. P. Chakrabarti,S. C. DeSarkar Pdf

Solutions to most real-world optimization problems involve a trade-off between multiple conflicting and non-commensurate objectives. Some of the most challenging ones are area-delay trade-off in VLSI synthesis and design space exploration, time-space trade-off in computation, and multi-strategy games. Conventional search techniques are not equipped to handle the partial order state spaces of multiobjective problems since they inherently assume a single scalar objective function. Multiobjective heuristic search techniques have been developed to specifically address multicriteria combinatorial optimization problems. This text describes the multiobjective search model and develops the theoretical foundations of the subject, including complexity results . The fundamental algorithms for three major problem formulation schemes, namely state-space formulations, problem-reduction formulations, and game-tree formulations are developed with the support of illustrative examples. Applications of multiobjective search techniques to synthesis problems in VLSI, and operations research are considered. This text provides a complete picture on contemporary research on multiobjective search, most of which is the contribution of the authors.

Author : Saïd Salhi
Publisher : Springer
Page : 213 pages
File Size : 49,7 Mb
Release : 2017-02-18
Category : Computers
ISBN : 9783319493558

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Heuristic Search by Saïd Salhi Pdf

This book aims to provide a general overview of heuristic search, to present the basic steps of the most popular heuristics, and to stress their hidden difficulties as well as their opportunities. It provides a comprehensive understanding of Heuristic search, the applications of which are now widely used in a variety of industries including engineering, finance, sport, management and medicine. It intends to aid researchers and practitioners in solving complex combinatorial and global optimisation problems, and spark interest in this exciting decision science-based subject. It will provide the reader with challenging and lively methodologies through which they will be able to design and analyse their own techniques

Author : Leveen Kanal,Vipin Kumar
Publisher : Springer Science & Business Media
Page : 491 pages
File Size : 49,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461387886

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Search in Artificial Intelligence by Leveen Kanal,Vipin Kumar Pdf

Search is an important component of problem solving in artificial intelligence (AI) and, more generally, in computer science, engineering and operations research. Combinatorial optimization, decision analysis, game playing, learning, planning, pattern recognition, robotics and theorem proving are some of the areas in which search algbrithms playa key role. Less than a decade ago the conventional wisdom in artificial intelligence was that the best search algorithms had already been invented and the likelihood of finding new results in this area was very small. Since then many new insights and results have been obtained. For example, new algorithms for state space, AND/OR graph, and game tree search were discovered. Articles on new theoretical developments and experimental results on backtracking, heuristic search and constraint propaga tion were published. The relationships among various search and combinatorial algorithms in AI, Operations Research, and other fields were clarified. This volume brings together some of this recent work in a manner designed to be accessible to students and professionals interested in these new insights and developments.

Author : David L. Woodruff
Publisher : Springer Science & Business Media
Page : 315 pages
File Size : 53,5 Mb
Release : 2013-03-14
Category : Business & Economics
ISBN : 9781475728071

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Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search by David L. Woodruff Pdf

Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis for integer programs. The chapter topics span the spectrum of application level. Some of the chapters are highly applied and others represent work in which the application potential is only beginning. In addition, each chapter contains expository material and reviews of the literature designed to enhance the participation of the reader in this expanding interface.

Author : V. J. Rayward-Smith
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 42,7 Mb
Release : 1996-12-23
Category : Computers
ISBN : UOM:39015040654199

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Modern Heuristic Search Methods by V. J. Rayward-Smith Pdf

Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof. These methods have proved extraordinarily successful by solving some of the most difficult, real-world problems. At the interface between Artificial Intelligence and Operational Research, research in this exciting area is progressing apace spurred on by the needs of industry and commerce. The introductory chapter provides a clear overview of the basic techniques and useful pointers to further reading and to current research. The second section of the book covers some of the most recent and exciting developments of the basic techniques, with suggestions not only for extending and improving these but also for hybridizing and incorporating automatic adaption. The third section contains a number of case studies, surveys and comparative studies which span a wide range of application areas ranging from the classic Steiner tree problem to more practical problems arising in telecommunications and data analysis. The coverage of the latest research and the illustrative case studies will ensure that the book is invaluable for researchers and professionals with an interest in heuristic search methods.

Author : Judea Pearl
Publisher : Addison Wesley Publishing Company
Page : 406 pages
File Size : 44,6 Mb
Release : 1984
Category : Computers
ISBN : UOM:39015047795607

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Heuristics by Judea Pearl Pdf

Problem-solving strartegies and the nature of Heuristic informatio n.Heuristics and problem representations. Basic Heuristic-Search procedures. Formal properties of Heuristic methods. Heuristics viewed as information provided by simplified models. Performance analysis of Heuristic methods. Abstract models for quantitative performace analysis. Complexity versus precision of admissible Heuristics. Searching with nonadmissible Heuristics. Game-playing programs. Strategies and models for game-playing programs. Performace analysis for game-searching strategies. Decision quality in game searching. Bibliography. Index.

Author : Abbass, Hussein A.,Sarker, Ruhul,Newton, Charles S.
Publisher : IGI Global
Page : 310 pages
File Size : 46,8 Mb
Release : 2001-07-01
Category : Computers
ISBN : 9781591400110

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Data Mining: A Heuristic Approach by Abbass, Hussein A.,Sarker, Ruhul,Newton, Charles S. Pdf

Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in recent years for solving such problems. Inspired by nature, biology, statistical mechanics, physics and neuroscience, heuristics techniques are used to solve many problems where traditional methods have failed. Data Mining: A Heuristic Approach will be a repository for the applications of these techniques in the area of data mining.

Author : Daniel Ratner
Publisher : Unknown
Page : 254 pages
File Size : 49,8 Mb
Release : 1986
Category : Algorithms
ISBN : UCSC:32106005680308

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Issues in Theoretical and Practical Complexity for Heuristic Search Algorithms by Daniel Ratner Pdf

Author : Mamta Mittal,Rajiv Ratn Shah,Sudipta Roy
Publisher : Academic Press
Page : 420 pages
File Size : 55,5 Mb
Release : 2021-08-13
Category : Computers
ISBN : 9780323856478

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Cognitive Computing for Human-Robot Interaction by Mamta Mittal,Rajiv Ratn Shah,Sudipta Roy Pdf

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world. Introduces several new contributions to the representation and management of humans in an autonomous robotic system Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Author : Douglas B. Lenat,Stanford University. Computer Science Department
Publisher : Unknown
Page : 724 pages
File Size : 50,9 Mb
Release : 1976
Category : Am (Computer program)
ISBN : STANFORD:36105025666145

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Am: an Artificial Intelligence Approach to Discovery in Mathematics as Heuristic Search by Douglas B. Lenat,Stanford University. Computer Science Department Pdf

Author : Abbass, Hussein A.,Newton, Charles S.,Sarker, Ruhul
Publisher : IGI Global
Page : 296 pages
File Size : 48,5 Mb
Release : 2001-07-01
Category : Computers
ISBN : 9781591400172

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Heuristic and Optimization for Knowledge Discovery by Abbass, Hussein A.,Newton, Charles S.,Sarker, Ruhul Pdf

With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic techniques. Heuristic and Optimization for Knowledge Discovery addresses the foundation of this topic, as well as its practical uses, and aims to fill in the gap that exists in current literature.

Author : Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani
Publisher : John Wiley & Sons
Page : 469 pages
File Size : 49,8 Mb
Release : 2024-04-02
Category : Computers
ISBN : 9781394188062

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Meta-Heuristic Algorithms for Advanced Distributed Systems by Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani Pdf

META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.

Author : Frank Werner,Larysa Burtseva,Yuri Sotskov
Publisher : MDPI
Page : 200 pages
File Size : 48,9 Mb
Release : 2020-03-18
Category : Technology & Engineering
ISBN : 9783039284689

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Exact and Heuristic Scheduling Algorithms by Frank Werner,Larysa Burtseva,Yuri Sotskov Pdf

This edited book presents new results in the area of the development of exact and heuristic scheduling algorithms. It contains eight articles accepted for publication for a Special Issue in the journal Algorithms. The book presents new algorithms, e.g., for flow shop, job shop, and parallel machine scheduling problems. The particular articles address subjects such as a heuristic for the routing and scheduling problem with time windows, applied to the automotive industry in Mexico, a heuristic for the blocking job shop problem with tardiness minimization based on new neighborhood structures, fast heuristics for the Euclidean traveling salesman problem or a new mathematical model for the period-aggregated resource leveling problem with variable job duration, and several others.

Author : David L. Woodruff
Publisher : Springer Science & Business Media
Page : 326 pages
File Size : 55,6 Mb
Release : 1997-12-31
Category : Business & Economics
ISBN : 0792380789

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Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search by David L. Woodruff Pdf

Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis for integer programs. The chapter topics span the spectrum of application level. Some of the chapters are highly applied and others represent work in which the application potential is only beginning. In addition, each chapter contains expository material and reviews of the literature designed to enhance the participation of the reader in this expanding interface.