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Theory Of Randomized Search Heuristics

optimization turn out to be highly successful for optimization in practice. The theory of randomized search heuristics, which has been growing rapidly;

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Theory of Evolutionary Computation

This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized;

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Theory of Evolutionary Computation

This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized;

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Randomized Routing Algorithms in Mobile Ad Hoc Networks

proposes several new randomized position-based algorithms for routing in mobile ad-hoc networks. The proposed algorithms incorporate two heuristics;

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On the Influence of Non-Perfect Randomness on Probabilistic Algorithms

probabilistic algorithms are examined on how they are influenced by random numbers that are not independent and uniformly distributed: A randomized;

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Human Action Analysis with Randomized Trees

This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random;

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Automated Design of Machine Learning and Search Algorithms

. The chapters report on the current state of the art by experts in the field and include reviews of AutoML and automated design of search;

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Autonomous Search

, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are;

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General-Purpose Optimization Through Information Maximization

concept, eventually incorporating all iterative stochastic search methods, including gradient-based methods. Inspired by work on Randomized Search;

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General-Purpose Optimization Through Information Maximization

concept, eventually incorporating all iterative stochastic search methods, including gradient-based methods. Inspired by work on Randomized Search;

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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

This volume constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms. Inside;

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Randomized Algorithms

the basic concepts in the design and analysis of randomized algorithms. The first part of the book presents tools from probability theory and;

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Combinatorial Optimization

Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory;

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Taming Randomized Controlled Trials in Education

include discussions on: The impact of complexity theory and chaos theory. Design issues and sampling in randomized controlled trials. Learning;

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Taming Randomized Controlled Trials in Education

include discussions on: The impact of complexity theory and chaos theory. Design issues and sampling in randomized controlled trials. Learning;

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Graphs and Combinatorial Optimization: from Theory to Applications

This book highlights new and original contributions on Graph Theory and Combinatorial Optimization both from the theoretical point of view;

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Theory And Applications Of Satisfiability Testing - Sat 2008

to proof systems, proof complexity, search algorithms, heuristics, analysis of algorithms, hard instances, randomized formulae, problem;

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Self-Adaptive Heuristics For Evolutionary Computation

. Biased mutation for evolution strategies is useful for constrained search spaces. Self-adaptive inversion mutation accelerates the search on;

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121 Heuristics for Solving Problems

Theory of Inventive Problem Solving), which is becoming increasingly popular worldwide. Successful results of using heuristics have been reported;

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Randomized Controlled Trials 2nd

understand the theory of randomized controlled trials and their influence on clinical, research or policy decisions.;

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Parallel Processing of Discrete Problems

, parallel branch-and-bound search under limited-memory constraints, parallelization of greedy randomized adaptive search procedures, parallel;

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Contributions on Theory of Mathematical Statistics

of parametric models and a comprehensive approach including the derivation of the Akaike's Information Criterion (AIC); theory of randomized designs;

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Clinical Trials in Surgical Oncology, An Issue of Surgical Oncology Clinics of North America

Oncology. Dr. Sigurdson has assembled expert authors to review the following topics: Commentary on Randomized Controlled Trials; Randomized;

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Recent Advances in Constraints

global constraints, search and heuristics, language and implementation issues, and modeling.;

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Randomized Response and Indirect Questioning Techniques in Surveys

optional RR devices, which provide alternatives to compulsory randomized response theory; and presents RR techniques that encompass quantitative;

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Randomized Response and Indirect Questioning Techniques in Surveys

optional RR devices, which provide alternatives to compulsory randomized response theory; and presents RR techniques that encompass quantitative;

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Design of Modern Heuristics

algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different;

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