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Towards a New Evolutionary Computation : Advances on Estimation of Distribution Algorithms
This is a nicely edited volume on Estimation of Distribution Algorithms (EDAs) by leading researchers on this important topic.
Theory of Evolutionary Computation : Recent Developments in Discrete Optimization
Reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It starts with two chapters on mathematical methods that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influences performance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming.
Text, Speech and Dialogue ; Vol.4188 ; 9th International Conference, TSD 2006, Brno, Czech Republic, September 11-15, 2006, Proceedings
Here are the refereed proceedings of the 9th International Conference on Text, Speech and Dialogue, TSD 2006. Coverage ranges from theoretical and methodological issues to applications with special focus on corpora, texts and transcription, speech analysis, recognition and synthesis, as well as their intertwining within NL dialogue systems.
Text, Speech and Dialogue ; 10th International Conference, TSD 2007, Pilsen, Czech Republic, September 3-7, 2007, Proceedings
Constitutes the refereed proceedings of the 10th International Conference on Text, Speech and Dialogue, TSD 2007, held in Pilsen, Czech Republic, September 3-7, 2007. The 80 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 198 submissions. The papers present a wealth of state-of-the-art research results in the field of natural language processing with an emphasis on text, speech, and spoken dialogue ranging from theoretical and methodological issues to applications in various fields and with special focus on corpora, texts and tra
Structural Synthesis of Parallel Robots ; Part 1 : Methodology
Presents solutions of uncoupled and fully-isotropic parallel robotic manipulators and a method for their structural synthesis. . The originality of this work resides in combining the new formulae for mobility connectivity, redundancy and overconstraints, and the evolutionary morphology in a systematic approach of structural synthesis. This work is organized in two parts published in two distinct books. Part 1 presents the methodology proposed for structural synthesis and Part 2 the various topologies of parallel robots generated by this systematic approach. Many solutions are presented here for the first time in the literature.
Stochastic Algorithms: Foundations and Applications ; 4th International Symposium, SAGA 2007, Zurich, Switzerland, September 13-14, 2007, Proceedings
Constitutes the refereed proceedings of the 4th International Symposium on Stochastic Algorithms: Foundations and Applications, SAGA 2007, held in Zurich, Switzerland, in September 2007. The 9 revised full papers and 5 invoted papers presented were carefully reviewed and selected out of 31 submissions for inclusion in the book. The contributed papers included in this volume cover both theoretical as well as applied aspects of stochastic computations whith a special focus on investigating the power of randomization in algorithmics
Stochastic Algorithms : Foundations and Applications; 3rd International Symposium, SAGA 2005, Moscow, Russia, October 20-22, 2005
Constitutes the refereed proceedings of the Third International Symposium on Stochastic Algorithms: Foundations and Applications, SAGA 2005, held in Moscow, Russia in October 2005. This title includes papers that cover both theoretical as well as applied aspects of stochastic computations with a special focus on the algorithmic ideas.
Spatially structured evolutionary algorithms : Artificial evolution in space and time
Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Moreover, there is new material on non-standard networked population structures such as small-world networks.
Soft Computing for Knowledge Discovery and Data Mining
The first three parts of this book are devoted to the principal constituents of soft computing: neural networks, evolutionary algorithms and fuzzy logic. The last part compiles the recent advances in soft computing for data mining, such as swarm intelligence, diffusion process and agent technology. This book provides investigators in the fields of information systems, engineering, computer science, operations research, bio-informatics, statistics and management with a profound source for the role of soft computing in data mining.
Soft Computing for Hybrid Intelligent Systems
Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, This edited book comprises papers on diverse aspects of soft computing and hybrid intelligent systems. There are theoretical aspects as well as application papers. The first part consists of papers with the main theme of intelligent control, The second part contains papers with the main theme of pattern recognition, The third part contains papers with the themes of intelligent agents and social systems, The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.
Soft Computing as Transdisciplinary Science and Technology ; Proceedings of the fourth IEEE International Workshop WSTST´05
Presents the proceedings of the Fourth International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST '05), May 25-27, 2005, Muroran, Japan. It brings together the original work of international soft computing/computational intelligence researchers, developers, practitioners, and users. This proceedings provide contributions to all areas of soft computing including intelligent hybrid systems, agent-based systems, intelligent data mining, decision support systems, cognitive and reactive distributed artificial intelligence (AI), internet modelling, human interface, and applications in science and technology.
Soft Computing : Methodologies and Applications
This carefully edited book covers a wide range of application areas of soft computing like optimization, data analysis and data mining, fault diagnosis, control as well as traffic and transportation systems. It contains 25 revised contributions from the 8th Online World Conferences on Soft Computing (WSC8). The collected papers show how the major soft computing techniques, fuzzy systems, neural networks and evolutionary algorithms and especially hybrid systems combining methods from these fields, lead to successful industrial applications. The reader will find an interesting, inspiring and wide variety of soft computing techniques and applications in this book.
Simulated Evolution and Learning ; 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings
Covers are evolutionary learning; evolutionary optimisation; hybrid learning; adaptive systems; theoretical issues in evolutionary computation; and real-world applications of evolutionary computation techniques.
Signal Processing Techniques for Knowledge Extraction and Information Fusion
This state-of-the-art resource brings together the latest findings from the cross-fertilization of signal processing, machine learning and computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information fusion. Issues related to the processing of signals with low signal-to-noise ratio, solving real-world multi-channel problems, and using adaptive techniques where nonstationarity, uncertainty and complexity play major roles are addressed. Particular methods include Independent Component Analysis, Support Vector Machines, Distributed and Collaborative Adaptive Filtering, Empirical Mode Decomposition, Self Organizing Maps, Fuzzy Logic, Evolutionary Algorithms and several others used frequently in these fields. Also included are both important and novel applications from telecommunications, renewable energy and biomedical engineering.
Self-Adaptive Heuristics for Evolutionary Computation
This book introduces various types of self-adaptive parameters for evolutionary computation. Biased mutation for evolution strategies is useful for constrained search spaces. Self-adaptive inversion mutation accelerates the search on combinatorial TSP-like problems. After the analysis of self-adaptive crossover operators the book concentrates on premature convergence of self-adaptive mutation control at the constraint boundary. Besides extensive experiments, statistical tests and some theoretical investigations enrich the analysis of the proposed concepts.
Scalable Optimization via Probabilistic Modeling : From Algorithms to Applications
The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited.
Research and Development in Intelligent Systems XXIV ; Proceedings of AI-2007, the 27th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
They present new and innovative developments in the field, divided into sections on Constraint Satisfaction, AI Techniques, Data Mining and Machine Learning, Multi-Agent Systems, Data Mining, and Knowledge Acquisition and Management.
Representations for Genetic and Evolutionary Algorithms
The book summarizes existing knowledge regarding problem representations and describes how basic properties of representations, such as redundancy, scaling, or locality, influence the performance of GEAs and other heuristic optimization methods. Using the developed theory, representations can be analyzed and designed in a theory-guided matter. The theoretical concepts are used for solving integer optimization problems and network design problems more efficiently.
Relational Methods in Computer Science ; 8th International Seminar on Relational Methods in Computer Science, 3rd International Workshop on Applications of Kleene Algebra, Workshop of COST Action 274: TARSKI, St. Catharines, ON, Canada, February 22-26, 2005, Selected Revised Papers
This volume is the post conference proceedings of the 8thInternational Seminaron Relational Methods in Computer Science (RelMiCS 8), held in conjunctionwith the 3rdInternational Workshop on Applications of Kleene Algebra and aCOST Action 274 (TARSKI) Workshop. This combined meeting took place inSt. Catharines, Ontario, Canada, from February 22 to February 26, 2005. Thepurpose of this meeting was to bring together researchers from various subdis-ciplines of computer science and mathematics who use the calculus of relationsand/or Kleene algebra as methodological and conceptual tools in their work.
Recent advances in memetic algorithms
"Recent Advances in Memetic Algorithms" presents a rich state-of-the-art gallery of works on Memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter.
