Numerical and Evolutionary Optimization – NEO 2017, Leonardo Trujillo; Oliver Sch?tze; Yazmin Maldonad

Автор: Trujillo
Название: Numerical and Evolutionary Optimization – NEO 2017
ISBN: 3319961039 ISBN-13(EAN): 9783319961033
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico.

Автор: Efr?n Mezura-Montes
Название: Constraint-Handling in Evolutionary Optimization
ISBN: 3642101550 ISBN-13(EAN): 9783642101557
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book is the result of a special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007. It presents recent research in constraint-handling in evolutionary optimization.

Автор: Carlos M. Fonseca; Xavier Gandibleux; Jin-Kao Hao;
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3642010199 ISBN-13(EAN): 9783642010194
Издательство: Springer
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Цена: 97820.00 T
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Описание: Constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009. This book presents 39 revised full papers together with 5 invited talks that were reviewed and selected from 72 submissions.

Автор: Manuel Barros; Jorge Guilherme; Nuno Horta
Название: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
ISBN: 3642263232 ISBN-13(EAN): 9783642263231
Издательство: Springer
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Цена: 158380.00 T
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Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.

Автор: Manuel Barros; Jorge Guilherme; Nuno Horta
Название: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
ISBN: 3642123457 ISBN-13(EAN): 9783642123450
Издательство: Springer
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Цена: 158380.00 T
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Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.

Автор: Bechikh
Название: Recent Advances in Evolutionary Multi-objective Optimization
ISBN: 3319429779 ISBN-13(EAN): 9783319429779
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.

Автор: Shengxiang Yang; Xin Yao
Название: Evolutionary Computation for Dynamic Optimization Problems
ISBN: 3642384153 ISBN-13(EAN): 9783642384158
Издательство: Springer
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Цена: 217680.00 T
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Описание: This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems.

Автор: Oliver Kramer
Название: A Brief Introduction to Continuous Evolutionary Optimization
ISBN: 3319034219 ISBN-13(EAN): 9783319034218
Издательство: Springer
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Цена: 60940.00 T
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Описание: This book introduces heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spaces. It presents heuristic extensions that allow optimization in constrained, multimodal and multi-objective solution spaces.

Автор: Rituparna Datta; Kalyanmoy Deb
Название: Evolutionary Constrained Optimization
ISBN: 8132221834 ISBN-13(EAN): 9788132221838
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms.

Автор: M.C. Bhuvaneswari
Название: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
ISBN: 8132219570 ISBN-13(EAN): 9788132219576
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

Автор: Hime Aguiar e Oliveira Junior
Название: Evolutionary Global Optimization, Manifolds and Applications
ISBN: 3319264664 ISBN-13(EAN): 9783319264660
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA.

Автор: Heike Trautmann; G?nter Rudolph; Kathrin Klamroth;
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3319541560 ISBN-13(EAN): 9783319541563
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Munster, Germany in March 2017. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; parallel EMO models; EMO algorithm implementations.