Télécharger le livre :  Many-Criteria Optimization and Decision Analysis
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This book presents the state-of-the-art, current challenges, and future perspectives for the field of many-criteria optimization and decision analysis. The field recognizes that real-life problems often involve trying to balance a multiplicity of considerations...

Editeur : Springer
Parution : 2023-07-28
Collection : Natural Computing Series
PDF, ePub

158,99
Télécharger le livre :  Optimising the Software Development Process with Artificial Intelligence
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This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by...

Editeur : Springer
Parution : 2023-07-19
Collection : Natural Computing Series
PDF, ePub

180,19
Télécharger le livre :  Computational Evolution of Neural and Morphological Development
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This book provides a basic yet unified overview of theory and methodologies for evolutionary developmental systems. Based on the author’s extensive research into the synergies between various approaches to artificial intelligence including evolutionary computation,...

Editeur : Springer
Parution : 2023-07-14
Collection : Natural Computing Series
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180,19
Télécharger le livre :  Visions of DNA Nanotechnology at 40 for the Next 40
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This open access book provides a unique and state-of-the-art view on DNA nanotechnology with an eye toward future developments. Intended as a tribute to Nadrian C. Seeman, who founded the field of DNA nanotechnology, the content is an exciting mixture of technical and...

Editeur : Springer
Parution : 2023-07-04
Collection : Natural Computing Series
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Télécharger le livre :  Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
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Focusing on comprehensive comparisons of the performance of stochastic optimization algorithms, this book provides an overview of the current approaches used to analyze algorithm performance in a range of common scenarios, while also...

Editeur : Springer
Parution : 2022-06-11
Collection : Natural Computing Series
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137,79
Télécharger le livre :  Metaheuristics for Finding Multiple Solutions
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This book presents the latest trends and developments in multimodal optimization and niching techniques. Most existing optimization methods are designed for locating a single global solution. However, in real-world settings, many problems are “multimodal” by nature,...

Editeur : Springer
Parution : 2021-10-22
Collection : Natural Computing Series
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169,59
Télécharger le livre :  Reservoir Computing
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This book is the first comprehensive book about reservoir computing (RC). RC is a powerful and broadly applicable computational framework based on recurrent neural networks. Its advantages lie in small training data set requirements, fast training, inherent memory and...

Editeur : Springer
Parution : 2021-08-05
Collection : Natural Computing Series
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180,19
Télécharger le livre :  Automated Design of Machine Learning and Search Algorithms
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This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future directions in this fast-developing area. Methods have been developed to automate the design of neural networks, heuristics and...

Editeur : Springer
Parution : 2021-07-28
Collection : Natural Computing Series
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148,39
Télécharger le livre :  General-Purpose Optimization Through Information Maximization
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This book examines the mismatch between discrete programs, which lie at the center of modern applied mathematics, and the continuous space phenomena they simulate. The author considers whether we can imagine continuous spaces of programs, and asks...

Editeur : Springer
Parution : 2020-08-16
Collection : Natural Computing Series
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211,99
Télécharger le livre :  Deep Neural Evolution
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This book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dramatically reformed many domains: computer vision, speech recognition, healthcare, and automatic game playing, to mention...

Editeur : Springer
Parution : 2020-05-20
Collection : Natural Computing Series
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201,39
Télécharger le livre :  Theory of Evolutionary Computation
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This edited book 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...

Editeur : Springer
Parution : 2019-11-20
Collection : Natural Computing Series
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221,54
Télécharger le livre :  Hyper-Heuristics: Theory and Applications
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This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of...

Editeur : Springer
Parution : 2018-10-05
Collection : Natural Computing Series
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95,39
Télécharger le livre :  Foraging-Inspired Optimisation Algorithms
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This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired...

Editeur : Springer
Parution : 2018-09-26
Collection : Natural Computing Series
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52,99
Télécharger le livre :  Computational Matter
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This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice,...

Editeur : Springer
Parution : 2018-07-20
Collection : Natural Computing Series
PDF

95,39
Télécharger le livre :  Self-aware Computing Systems
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Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information...

Editeur : Springer
Parution : 2016-07-28
Collection : Natural Computing Series
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95,39
Télécharger le livre :  Multimodal Optimization by Means of Evolutionary Algorithms
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This book offers the first comprehensive taxonomy for multimodal optimization algorithms, work with its root in topics such as niching, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits;...

Editeur : Springer
Parution : 2015-11-27
Collection : Natural Computing Series
PDF

95,39
Télécharger le livre :  Discrete and Topological Models in Molecular Biology
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Theoretical tools and insights from discrete mathematics, theoretical computer science, and topology now play essential roles in our understanding of vital biomolecular processes. The related methods are now employed in various fields of mathematical biology as...

Editeur : Springer
Parution : 2013-12-23
Collection : Natural Computing Series
ePub

95,39
Télécharger le livre :  Theory and Principled Methods for the Design of Metaheuristics
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Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many real-world problems, but the often informal way in which they are defined and applied has led to misconceptions, and even successful applications are...

Editeur : Springer
Parution : 2013-12-19
Collection : Natural Computing Series
ePub

52,99
Télécharger le livre :  Massively Parallel Evolutionary Computation on GPGPUs
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Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with...

Editeur : Springer
Parution : 2013-12-05
Collection : Natural Computing Series
ePub

52,99
Télécharger le livre :  Contemporary Evolution Strategies
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Evolution strategies have more than 50 years of history in the field of evolutionary computation. Since the early 1990s, many algorithmic variations of evolution strategies have been developed, characterized by the fact that they use the so-called derandomization...

Editeur : Springer
Parution : 2013-10-02
Collection : Natural Computing Series
ePub

42,39
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