£75.68

Springer Autonomous Search

Name: Autonomous Search
Brand: Springer
Price: 75.73 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 28 days • 28 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 28 days • 1 price levels

Days at Price

Price Analysis

Most common price: £76 (28 days, 100.0%)

Price range: £76 - £76

Price levels: 1 different prices over 28 days

Description

Product Description Autonomous combinatorial search (AS) represents a new field in combinatorial problem solving. Its major standpoint and originality is that it considers that problem solvers must be capable of self-improvement operations. This is the first book dedicated to AS. From the Back Cover Decades of innovations in combinatorial problem solving have produced better and more complex algorithms. These new methods are better since they can solve larger problems and address new application domains. They are also more complex which means that they are hard to reproduce and often harder to fine-tune to the peculiarities of a given problem. This last point has created a paradox where efficient tools are out of reach of practitioners. Autonomous search (AS) represents a new research field defined to precisely address the above challenge. Its major strength and originality consist in the fact that problem solvers can now perform self-improvement operations based on analysis of the performances of the solving process -- including short-term reactive reconfiguration and long-term improvement through self-analysis of the performance, offline tuning and online control, and adaptive control and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. About the Author Dr. Youssef Hamadi is the head of the Constraint Reasoning Group at Microsoft Research Cambridge, and his research interests include combinatorial optimization in alternative frameworks (parallel and distributed architectures); the application of machine learning to search; autonomous search; and parallel propositional satisfiability. Prof. Eric Monfroy is affiliated with both the Universidad Técnica Federico Santa María, Valparaíso, Chile and LINA, Université de Nantes, France; his research areas include heuristics, optimization, constraints, and search. Prof. Frédéric Saubion coheads the Metaheuristics, Optimization and Applications team at the Université d'Angers; his research topics include hybrid and adaptive evolutionary algorithms and applications of metaheuristics to various domains such as information retrieval, nonmonotonic reasoning and biology.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642443346
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Publication Date: 22 February 2014
Listed Since: 13 February 2014

Barcode

No barcode data available

Springer Autonomous Search

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Automated Design of Machine Learning and Search Algorithms (Natural Computing Series)

Evolutionary Global Optimization, Manifolds and Applications: 43 (Studies in Systems, Decision and Control, 43)

Theory of Evolutionary Computation: Recent Developments in Discrete Optimization (Natural Computing Series)

Autonomy and Artificial Intelligence: A Threat or Savior?

Harmony Search Algorithm: Proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015): 382 (Advances in Intelligent Systems and Computing, 382)

Springer Recent Metaheuristic Computation Schemes in Engineering

Academic Press Multi-Objective Combinatorial Optimization Book

Local Search in Combinatorial Optimization

Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications (Uncertainty, Computational Techniques, and Decision Intelligence)

Decision Science in Action: Theory and Applications of Modern Decision Analytic Optimisation (Asset Analytics)

/uploads/images/products/2/B0D9H66CH7/de02f99d-bad7-4d89-b10c-cc7c8f380e2a.webp

Recent Metaheuristics Algorithms for Parameter Identification: 854 (Studies in Computational Intelligence, 854)

Recent Metaheuristics Algorithms for Parameter Identification: 854 (Studies in Computational Intelligence, 854)

Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications: ICHSA 2020, Istanbul: 1275 (Advances in Intelligent Systems and Computing, 1275)

Wiley Optimization Techniques for Solving Complex Problems

A Practical Approach to Metaheuristics using LabVIEW and MATLAB® (Chapman & Hall/CRC Computer and Information Science Series)

Optimization Using Evolutionary Algorithms and Metaheuristics: Applications in Engineering (Science, Technology, and Management)

Handbook of Constraint Programming (Foundations of Artificial Intelligence)

Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization

Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization

Evolutionary Algorithms for Mobile Ad Hoc Networks (Nature-Inspired Computing Series)

Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques

Advances in Metaheuristic Algorithms for Optimal Design of Structures

Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering