Evolutionary Computation in Scheduling, Amir H Gandomi

Автор: Sipser Michael
Название: Introduction to the Theory of Computation
ISBN: 113318779X ISBN-13(EAN): 9781133187790
Издательство: Cengage Learning
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Цена: 121160.00 T
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Описание: Gain a clear understanding of even the most complex, highly theoretical computational theory topics in the approachable presentation found only in the market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today's computational theory course, this revision continues the book's well-know, approachable style with timely revisions, additional practice, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars.

You gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E's comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.

Автор: Watrous, John (university Of Waterloo, Ontario)
Название: The theory of quantum information
ISBN: 1107180562 ISBN-13(EAN): 9781107180567
Издательство: Cambridge Academ
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Цена: 77090.00 T
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Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.

Автор: Shu-Heng Chen
Название: Evolutionary Computation in Economics and Finance
ISBN: 3790825123 ISBN-13(EAN): 9783790825121
Издательство: Springer
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Цена: 167660.00 T
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Описание: A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering.

Автор: Shengxiang Yang; Yew-Soon Ong; Yaochu Jin
Название: Evolutionary Computation in Dynamic and Uncertain Environments
ISBN: 3642080650 ISBN-13(EAN): 9783642080654
Издательство: Springer
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Цена: 243800.00 T
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Описание: Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.

Автор: Oliver Kramer
Название: Self-Adaptive Heuristics for Evolutionary Computation
ISBN: 3642088783 ISBN-13(EAN): 9783642088780
Издательство: Springer
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Цена: 139750.00 T
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Описание: I: Foundations of Evolutionary Computation.- Evolutionary Algorithms.- Self-Adaptation.- II: Self-Adaptive Operators.- Biased Mutation for Evolution Strategies.- Self-Adaptive Inversion Mutation.- Self-Adaptive Crossover.- III: Constraint Handling.- Constraint Handling Heuristics for Evolution Strategies.- IV: Summary.- Summary and Conclusion.- V: Appendix.- Continuous Benchmark Functions.- Discrete Benchmark Functions.

Автор: Serra Roberto Et Al
Название: Artificial Life And Evolutionary Computation - Proceedings Of Wivace 2008
ISBN: 981428744X ISBN-13(EAN): 9789814287449
Издательство: World Scientific Publishing
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Цена: 144670.00 T
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Описание: The Italian community in Artificial Life and Evolutionary computation has grown remarkably over the years. This book presents a collection of its major interests and achievements (including contributions from foreign countries). It provides a broad picture of the Italian activities in this field.

Автор: Sim
Название: Applications of Evolutionary Computation
ISBN: 3319775375 ISBN-13(EAN): 9783319775371
Издательство: Springer
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Цена: 46570.00 T
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Описание: With the passage of the Post-9/11 GI Bill in 2008, more than 1.4 million service members and their families became eligible for higher education benefits. This collection presents findings from the second wave of research about student veterans, with a focus on data-driven evidence of academic success factors, including persistence, retention, degree completion, and employment after college.

Автор: Hitoshi Iba, Nasimul Noman
Название: Evolutionary Computation in Gene Regulatory Network Research
ISBN: 1118911512 ISBN-13(EAN): 9781118911518
Издательство: Wiley
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Цена: 128780.00 T
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Описание: Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC).

Автор: Clara Pizzuti; Giandomenico Spezzano
Название: Advances in Artificial Life and Evolutionary Computation
ISBN: 3319127446 ISBN-13(EAN): 9783319127446
Издательство: Springer
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Цена: 54040.00 T
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Описание: Artificial neural networks.- Fuzzy inference systems.- Rough set.- Approximate reasoning.- Optimization methods such as evolutionary computation, swarm intelligence, particle swarm optimization.

Автор: Ashish Ghosh
Название: Evolutionary Computation in Data Mining
ISBN: 3642421954 ISBN-13(EAN): 9783642421952
Издательство: Springer
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Цена: 139750.00 T
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Описание: Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge.

Автор: Giovanni Squillero; Paolo Burelli
Название: Applications of Evolutionary Computation
ISBN: 3319311522 ISBN-13(EAN): 9783319311524
Издательство: Springer
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Цена: 52170.00 T
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Описание: EvoNUM: Local Fitness Meta-Models with Nearest Neighbor Regression.- Validating the Grid Diversity Operator: an Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms.- Benchmarking Languages for Evolutionary Algorithms.- On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.- Evolving Smoothing Kernels for Global Optimization.- EvoPAR: Implementing Parallel Differential Evolution on Spark.- ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithm.- Addressing High Dimensional Multi-Objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces.- Compilable Phenotypes: Accelerating the Evaluation of Individuals in Grammatical Evolution.- GPU Accelerated Molecular Docking Simulation with Genetic Algorithms.- EvoRISK: Challenging Anti-virus Through Evolutionary Malware Obfuscation.- EvoROBOT: Leveraging Online Racing and Population Cloning in Evolutionary Multirobot Systems.- Multi-Agent Behavior-Based Policy Transfer.- On-line Evolution of Foraging Behaviour in a Population of Real Robots.- Hybrid Control for a Real Swarm Robotics System in an Intruder Detection Task.- EvoSTOC: Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments.- Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting.- Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation.- Genetic Programming Algorithms for Dynamic Environments.- A Memory-Based NSGA-II Algorithm for Dynamic Multi-Objective Optimization Problems.- Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems.

Автор: Witold Pedrycz
Название: Fuzzy Evolutionary Computation
ISBN: 0792399420 ISBN-13(EAN): 9780792399421
Издательство: Springer
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Цена: 186290.00 T
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Описание: As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Once quantified via fuzzy sets or fuzzy relations, the domain knowledge could be used efficiently very often reducing a heavy computation burden when analyzing and optimizing complex systems.