Modern Heuristic Search Methods
Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems.
Search in Artificial Intelligence
This book brings together some new insights and recent developments on the topics of search procedures in Artificial Intelligence and the relationships among search methods in Artificial Intelligence, Operations Research, and Engineering.
Distributed Search by Constrained Agents
This book presents a comprehensive discussion on the field of distributed constraints, its algorithms and its active research areas.
Heuristic Search
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.
Search Methods for Artificial Intelligence
This book contains a description of modern search methods that are in use mainly in the field of computer science, though with special stress on artificial intelligence, and go so far as to discuss practical application.
Searching with Probabilities
Satisficing solutions and different approaches to obtain them under various criteria is the subject of these notes, published in the series "Research notes in artificial intelligence".
Search Methodologies
It is a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The book is made up of 19 chapters.
Reactive Search and Intelligent Optimization
The book looks at different optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies.
Theory of Randomized Search Heuristics
This volume covers both classical results and the most recent theoretical developments in the field of randomized search heuristics such as runtime analysis, drift analysis and convergence.
Multiobjective Heuristic Search
This text provides a complete picture on contemporary research on multiobjective search, most of which is the contribution of the authors.
Search Methods in Artificial Intelligence
This book is designed to provide in-depth knowledge on how search plays a fundamental role in problem solving.
Probabilistic Search for Tracking Targets
Furthermore, this book presents novel methods of search for static and moving targets along with practical algorithms of partitioning and search and screening.
Empirical Models of Heuristic Search in AI Planning and Neural Sequence Decoding
Our work shows the importance of empirical models in the study and development of heuristic search algorithms and demonstrates that empirical models developed for CSPs and SAT can be adapted to AI planning and neural sequence decoding.
Recent Advances in Harmony Search Algorithm
This book collects the above-mentioned theory and applications, which are dispersed in various technical publications, so that readers can have a good grasp of current status of the harmony search algorithm and foster new breakthroughs in ...
Revisiting the Theory and Practice of Bidirectional and Suboptimal Heuristic Search Algorithms
Heuristic Search is a general problem-solving method widely used in artificial intelligence (AI).
Partial Synthesis of Heuristic Search Algorithms
In doing so, researchers defined a synthesis space for heuristic search algorithms and then automatically searched through that space. We extend this line of work and make the following contributions.
Rigorous Bounds for Fundamental Heuristic Search
Both A* search and local search are heuristic algorithms widely used for problem-solving in Artificial Intelligence and Combinatorial Optimization.
Harmony Search Algorithm
This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering.
A Connectionist Approach for Learning Search Control Heuristics for Automated Deduction Systems
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Parallel Artificial Intelligence Search Techniques for Real Time Applications
State space search is an important component of many problem solving methodologies. The computational models within Artificial Intelligence depend heavily upon state spaces searches. Production systems are one such computational model.