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New Frontiers in Artificial Intelligence ; JSAI 2006 Conference andWorkshops

The objectives of this book are to present the award papers of the 20th annual conference of JSAI 2006 and selected papers from the three co-located international workshops and to promote the study exchange among researchers worldwide.

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Metaheuristics for Scheduling in Industrial and Manufacturing Applications

This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling in industrial and manufacturing applications is the novelty of this edited volume. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field.

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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics ; International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings

Stochastic local search (SLS) algorithms enjoy great popularity as powerful and versatile tools for tackling computationally hard decision and optimization pr- lems from many areas of computer science, operations research, and engineering. However, in recent years it has become evident that at the core of this development task there is a highly complex engineering process, which combines various aspects of algorithm design with empirical analysis techniques and problem-specific background, and which relies heavily on knowledge from a number of disciplines and areas, including computer science, operations research, artificial intelligence, and statistics. This development process needs to be - sisted by a sound methodology that addresses the issues arising in the various phases of algorithm design, implementation, tuning, and experimental eval- tion.

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Distributed Search by Constrained Agents : Algorithms, Performance, Communication

This book presents a comprehensive discussion on the field of distributed constraints, its algorithms and its active research areas. It introduces distributed constraint satisfaction and optimization problems and proceeds to present a complete state-of-the-art in DisCSP & DisCOP research.

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Computers and Games ; 5th International Conference, CG 2006, Turin, Italy, May 29-31, 2006, Revised Papers

This book covers all aspects of artificial intelligence in computer-game playing. Topics addressed are evaluation and learning, search, combinatorial games and theory opening and endgame databases, single-agent search and planning, and computer Go.

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Applied Parallel Computing ; State of the Art in Scientific Computing ; 8th International Workshop, PARA 2006, Umea, Sweden, June 18-21, 2006, Revised Selected Papers

It covers partial differential equations, parallel scientific computing algorithms, linear algebra, simulation environments, algorithms and applications for blue gene/L, scientific computing tools and applications, parallel search algorithms, peer-to-peer computing, mobility and security, algorithms for single-chip multiprocessors.

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Advances in intelligent computing ; Vol. 3644 ; International conference on intelligent computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I

This book constitutes the proceedings of the International Conference on Intelligent Computing (ICIC 2005), Based on rigorous peer reviews, the Program Committee selected 563 high-quality papers for presentation at ICIC 2005; Including Topics Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity Image Processing and Computer Vision Pattern Recognition Evolutionary Biology

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A Modular Calculus for the Average Cost of Data Structuring

This volume, with forewords by Greg Bollella and Dana Scott, presents novel programs based on the new advances in this area, including the first randomness-preserving version of Heapsort. Programs are provided, along with derivations of their average-case time, to illustrate the radically different approach to average-case timing. The automated static timing tool applies the Modular Calculus to extract the average-case running time of programs directly from their MOQA code.

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