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Combustion Optimization Based on Computational Intelligence, Zhou


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Цена: 93160.00T
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Склад Америка: 170 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Zhou
Название:  Combustion Optimization Based on Computational Intelligence
ISBN: 9789811078736
Издательство: Springer
Классификация:





ISBN-10: 9811078734
Обложка/Формат: Hardcover
Страницы: 270
Вес: 0.61 кг.
Дата издания: 2018
Серия: Advanced Topics in Science and Technology in China
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 129 illustrations, color; 100 illustrations, black and white; xxiii, 225 p. 229 illus., 129 illus. in color.
Размер: 234 x 156 x 18
Читательская аудитория: Tertiary education (us: college)
Основная тема: Energy Efficiency
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc.

Swarm Intelligence Based Optimization

Автор: Patrick Siarry; Lhassane Idoumghar; Julien Lepagno
Название: Swarm Intelligence Based Optimization
ISBN: 3319129694 ISBN-13(EAN): 9783319129693
Издательство: Springer
Рейтинг:
Цена: 44720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Combining PSO and FCM for Dynamic Fuzzy Clustering Problems.- Metaheuristics for solving a hybrid flexible flowshop problem with sequence-dependent setup times.- Using Particle Swarm Optimization Method to Invert Active Surface Waves.- A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer.- Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition.- Smooth trajectory planning for robot using particle swarm optimization.- Multi-level parallelization for hybrid ACO.- Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms.- Using bio-inspired algorithm to compensate web page color contrast for dichromat users.- Comparison of two swarm intelligence optimization algorithms on the textual color problem for web accessibility.- How Much Forcing is Necessary to Let the Results of Particle Swarms Converge?.- The use of ontology in semantic analysis of the published learners messages for adaptability.- A Hybrid PSO Applied to the Flexible Job Shop with Transport.- Multiple Mobile Target Tracking in Wireless Sensor Networks.- Swarm projects: beyond the metaphor.- An enhanced Particle Swarm Optimisation algorithm combined with Neural Networks to decrease computational time.- Robust Multi-Agent Patrolling Strategies using Reinforcement Learning.- BSG-Starcraft Radius improvements of Particle Swarm Optimization.- Algorithm: an application to Ceramic Matrix Composites.- An Efficient ACO-SA Hybrid Metaheuristic for the Synchronization of Single Frequency Networks in Broadcasting.- Floods Trajectories Modeling and Dynamic Relief Planning: A Bees Foraging Approach.


Pharmacokinetic Optimization in Drug Research: Biological, Physicochemical, and Computational Strategies

Автор: Bernard Testa
Название: Pharmacokinetic Optimization in Drug Research: Biological, Physicochemical, and Computational Strategies
ISBN: 3906390225 ISBN-13(EAN): 9783906390222
Издательство: Wiley
Рейтинг:
Цена: 153120.00 T
Наличие на складе: Невозможна поставка.
Описание: In this age of combinatorial chemistry and high-throughput technologies, bioactive compounds called hits are discovered by the thousands. However, the road that leads from hits to lead compounds and then to pharmacokinetically optimized clinical and drug candidates is very long indeed. As a result, the screening, design, and optimization of pharmacokinetic properties has become the bottleneck and a major challenge in drug research. To shorten the time-consuming develop-ment and high rate of attrition of active compounds ultimately doomed by hidden pharmacokinetic defects, drug researchers are coming to incorporate structure-permeation, structure-distribution, structure-metabolism, and structure-toxicity relations into drug-design strategies. To this end, powerful biological, physicochemical, and computational approaches are being developed whose objectives are to increase the clinical relevance of drug design, and to eliminate as soon as possible compounds with unfavorable physicochemical properties and pharmacokinetic profiles. Toxicological issues are also of utmost importance in this paradigm. There was, hence, an urgent need for a book covering this field in an authoritative, didactic, comprehensive, factual, and conceptual manner. In this work of unique breadth and depth, international authorities and practicing experts from academia and industry present the most modern biological, physicochemical, and computational strategies to optimize gastrointestinal absorption, protein binding and distribution, brain permeation, and metabolic profile. The biological strategies emphasized in the book include cell cultures and high-throughput screens. The physicochemical strategies focus on the determination and interpretation of solubility, lipophilicity, and related molecular properties as factors and predictors of pharmacokinetic bahavior. Particular attention is paid to the lipophilicity profiles of ionized compounds, to lipophicity measurements in anisotropic media (liposomes/water, IAM columns), and to permeability across artificial membranes. Computational strategies comprise virtual screening, molecular modelling, lipophilicity, and H-bonding fields and their importance for structure-disposition relations. This book is both about theoretical and technological breakthroughs. Thus, molecular properties are contemplated from a dual perspective, namely a) their interpretation in biological and/or physicochemical terms, and b) their value in screening, lead optimization, and drug-candidate selection. In addition to its 33 chapters, the book includes a CD-ROM containing the invited lectures, oral communications and posters (in full version) presented at the Second LogP Symposium, 'Lipophilicity in Drug Disposition -- Practical and Computational Approaches to Molecular Properties Related to Drug Permeation, Disposition and Metabolism', held at the University of Lausanne in March 2000.

Computational Intelligence in Optimization

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Optimization
ISBN: 3642263615 ISBN-13(EAN): 9783642263613
Издательство: Springer
Рейтинг:
Цена: 204040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

Interpretability of Computational Intelligence-Based Regression Models

Автор: Tam?s Kenesei; J?nos Abonyi
Название: Interpretability of Computational Intelligence-Based Regression Models
ISBN: 3319219413 ISBN-13(EAN): 9783319219417
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques.

Militarized Conflict Modeling Using Computational Intelligence

Автор: Tshilidzi Marwala; Monica Lagazio
Название: Militarized Conflict Modeling Using Computational Intelligence
ISBN: 1447127013 ISBN-13(EAN): 9781447127017
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.

Computational Intelligence in Expensive Optimization Problems

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Expensive Optimization Problems
ISBN: 3642263186 ISBN-13(EAN): 9783642263187
Издательство: Springer
Рейтинг:
Цена: 261210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.

Computational Intelligence in Optimization

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Optimization
ISBN: 3642127746 ISBN-13(EAN): 9783642127748
Издательство: Springer
Рейтинг:
Цена: 204040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

Computational Intelligence in Expensive Optimization Problems

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Expensive Optimization Problems
ISBN: 3642107001 ISBN-13(EAN): 9783642107009
Издательство: Springer
Рейтинг:
Цена: 287330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.

Computational Intelligence for Optimization

Автор: Nirwan Ansari; Edwin Hou
Название: Computational Intelligence for Optimization
ISBN: 0792398386 ISBN-13(EAN): 9780792398387
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intended to provide a technical description of developments in advanced optimization techniques, specifically simulated annealing, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementation, and practical applications. This book is suitable for first-year graduate courses in electrical and computer engineering.

Computational Intelligence for Optimization

Автор: Nirwan Ansari; Edwin Hou
Название: Computational Intelligence for Optimization
ISBN: 1461379075 ISBN-13(EAN): 9781461379072
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is intended to provide a technical description on the state-of-the-art development in advanced optimization techniques, specifically heuristic search, neural networks, simulated annealing, stochastic machines, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementa- tion, and practical applications.

Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence

Название: Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence
ISBN: 3642098835 ISBN-13(EAN): 9783642098833
Издательство: Springer
Рейтинг:
Цена: 156720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The text here provides the reader with an in-depth overview and analysis of the fundamental methods and techniques developed following G. Voronoi`s ground-breaking ideas, in the context of the vast and increasingly growing area of computational intelligence.

Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence

Название: Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence
ISBN: 3540851259 ISBN-13(EAN): 9783540851257
Издательство: Springer
Рейтинг:
Цена: 191560.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The text here provides the reader with an in-depth overview and analysis of the fundamental methods and techniques developed following G. Voronoi`s ground-breaking ideas, in the context of the vast and increasingly growing area of computational intelligence.


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