Evolutionary Algorithms Swarm Dynamics And Complex Networks

Evolutionary Algorithms Swarm Dynamics And Complex Networks Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Evolutionary Algorithms Swarm Dynamics And Complex Networks book. This book definitely worth reading, it is an incredibly well-written.

Evolutionary Algorithms, Swarm Dynamics and Complex Networks

Ivan Zelinka,Guanrong Chen
Evolutionary Algorithms Swarm Dynamics and Complex Networks Book PDF

Author : Ivan Zelinka,Guanrong Chen
Publisher : Springer
Page : 312 pages
File Size : 52,7 Mb
Release : 2017-11-25
Category : Technology & Engineering
ISBN : 9783662556634

Get Book

Evolutionary Algorithms, Swarm Dynamics and Complex Networks by Ivan Zelinka,Guanrong Chen Pdf

Evolutionary algorithms constitute a class of well-known algorithms, which are designed based on the Darwinian theory of evolution and Mendelian theory of heritage. They are partly based on random and partly based on deterministic principles. Due to this nature, it is challenging to predict and control its performance in solving complex nonlinear problems. Recently, the study of evolutionary dynamics is focused not only on the traditional investigations but also on the understanding and analyzing new principles, with the intention of controlling and utilizing their properties and performances toward more effective real-world applications. In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks. In fact, it includes more advanced complex networks and incorporates them with the CMLs (coupled map lattices), which are usually used for spatiotemporal complex systems simulation and analysis, based on the observation that chaos in CML can be controlled, so does evolution dynamics. All the chapter authors are, to the best of our knowledge, originators of the ideas mentioned above and researchers on evolutionary algorithms and chaotic dynamics as well as complex networks, who will provide benefits to the readers regarding modern scientific research on related subjects.

Evolutionary Computation and Complex Networks

Jing Liu,Hussein A. Abbass,Kay Chen Tan
Evolutionary Computation and Complex Networks Book PDF

Author : Jing Liu,Hussein A. Abbass,Kay Chen Tan
Publisher : Springer
Page : 148 pages
File Size : 45,9 Mb
Release : 2018-09-22
Category : Technology & Engineering
ISBN : 9783319600000

Get Book

Evolutionary Computation and Complex Networks by Jing Liu,Hussein A. Abbass,Kay Chen Tan Pdf

This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

International Conference on Intelligent Computing and Applications

M. Arun Bhaskar,Subhransu Sekhar Dash,Swagatam Das,Bijaya Ketan Panigrahi
International Conference on Intelligent Computing and Applications Book PDF

Author : M. Arun Bhaskar,Subhransu Sekhar Dash,Swagatam Das,Bijaya Ketan Panigrahi
Publisher : Springer
Page : 404 pages
File Size : 47,9 Mb
Release : 2018-09-08
Category : Technology & Engineering
ISBN : 9789811321825

Get Book

International Conference on Intelligent Computing and Applications by M. Arun Bhaskar,Subhransu Sekhar Dash,Swagatam Das,Bijaya Ketan Panigrahi Pdf

The book is a collection of best papers presented at the International Conference on Intelligent Computing and Applications (ICICA 2018), held at Velammal Engineering College, Chennai, India on 2–3 February 2018. Presenting original work in the field of computational intelligence and power and computing technology, it focuses on soft computing applications in power systems; power-system modeling and control; FACTS devices – applications in power systems; power-system stability and switchgear and protection; power quality issues and solutions; smart grids; green and renewable energy technologies; optimization techniques in electrical systems; power electronics controllers for power systems; power converters and modeling; high voltage engineering; diagnosis and sensing systems; and robotics.

AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application

Ivan Zelinka,Pavel Brandstetter,Tran Trong Dao,Vo Hoang Duy,Sang Bong Kim
AETA 2018 Recent Advances in Electrical Engineering and Related Sciences Theory and Application Book PDF

Author : Ivan Zelinka,Pavel Brandstetter,Tran Trong Dao,Vo Hoang Duy,Sang Bong Kim
Publisher : Springer
Page : 994 pages
File Size : 51,7 Mb
Release : 2019-04-13
Category : Technology & Engineering
ISBN : 9783030149079

Get Book

AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application by Ivan Zelinka,Pavel Brandstetter,Tran Trong Dao,Vo Hoang Duy,Sang Bong Kim Pdf

These proceedings address a broad range of topic areas, including telecommunication, power systems, digital signal processing, robotics, control systems, renewable energy, power electronics, soft computing and more. Today’s world is based on vitally important technologies that combine e.g. electronics, cybernetics, computer science, telecommunication, and physics. However, since the advent of these technologies, we have been confronted with numerous technological challenges such as finding optimal solutions to various problems regarding controlling technologies, signal processing, power source design, robotics, etc. Readers will find papers on these and other topics, which share fresh ideas and provide state-of-the-art overviews. They will also benefit practitioners, who can easily apply the issues discussed here to solve real-life problems in their own work. Accordingly, the proceedings offer a valuable resource for all scientists and engineers pursuing research and applications in the above-mentioned fields.

Applications of Hybrid Metaheuristic Algorithms for Image Processing

Diego Oliva,Salvador Hinojosa
Applications of Hybrid Metaheuristic Algorithms for Image Processing Book PDF

Author : Diego Oliva,Salvador Hinojosa
Publisher : Springer Nature
Page : 488 pages
File Size : 53,8 Mb
Release : 2020-03-27
Category : Technology & Engineering
ISBN : 9783030409777

Get Book

Applications of Hybrid Metaheuristic Algorithms for Image Processing by Diego Oliva,Salvador Hinojosa Pdf

This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.

Evolution, Development and Complexity

Georgi Yordanov Georgiev,John M. Smart,Claudio L. Flores Martinez,Michael E. Price
Evolution Development and Complexity Book PDF

Author : Georgi Yordanov Georgiev,John M. Smart,Claudio L. Flores Martinez,Michael E. Price
Publisher : Springer
Page : 454 pages
File Size : 45,6 Mb
Release : 2019-06-25
Category : Science
ISBN : 9783030000752

Get Book

Evolution, Development and Complexity by Georgi Yordanov Georgiev,John M. Smart,Claudio L. Flores Martinez,Michael E. Price Pdf

This book explores the universe and its subsystems from the three lenses of evolutionary (contingent), developmental (predictable), and complex (adaptive) processes at all scales. It draws from prolific experts within the academic disciplines of complexity science, physical science, information and computer science, theoretical and evo-devo biology, cosmology, astrobiology, evolutionary theory, developmental theory, and philosophy. The chapters come from a Satellite Meeting, "Evolution, Development and Complexity" (EDC) hosted at the Conference on Complex Systems, in Cancun, 2017. The contributions have been peer-reviewed and contributors from outside the conference were invited to submit chapters to ensure full coverage of the topics. This book explores many issues within the field of EDC such as the interaction of evolutionary stochasticity and developmental determinism in biological systems and what they might teach us about these twin processes in other complex systems. This text will appeal to students and researchers within the complex systems and EDC fields.

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V

Alexandru-Adrian Tantar,Emilia Tantar,Jian-Qiao Sun,Wei Zhang,Qian Ding,Oliver Schütze,Michael Emmerich,Pierrick Legrand,Pierre Del Moral,Carlos A. Coello Coello
EVOLVE A Bridge between Probability Set Oriented Numerics and Evolutionary Computation V Book PDF

Author : Alexandru-Adrian Tantar,Emilia Tantar,Jian-Qiao Sun,Wei Zhang,Qian Ding,Oliver Schütze,Michael Emmerich,Pierrick Legrand,Pierre Del Moral,Carlos A. Coello Coello
Publisher : Springer
Page : 336 pages
File Size : 47,8 Mb
Release : 2014-06-04
Category : Technology & Engineering
ISBN : 9783319074948

Get Book

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V by Alexandru-Adrian Tantar,Emilia Tantar,Jian-Qiao Sun,Wei Zhang,Qian Ding,Oliver Schütze,Michael Emmerich,Pierrick Legrand,Pierre Del Moral,Carlos A. Coello Coello Pdf

This volume encloses research articles that were presented at the EVOLVE 2014 International Conference in Beijing, China, July 1–4, 2014. The book gathers contributions that emerged from the conference tracks, ranging from probability to set oriented numerics and evolutionary computation; all complemented by the bridging purpose of the conference, e.g. Complex Networks and Landscape Analysis, or by the more application oriented perspective. The novelty of the volume, when considering the EVOLVE series, comes from targeting also the practitioner’s view. This is supported by the Machine Learning Applied to Networks and Practical Aspects of Evolutionary Algorithms tracks, providing surveys on new application areas, as in the networking area and useful insights in the development of evolutionary techniques, from a practitioner’s perspective. Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.

Behavior and Evolutionary Dynamics in Crowd Networks

Yan Chen,H. Vicky Zhao
Behavior and Evolutionary Dynamics in Crowd Networks Book PDF

Author : Yan Chen,H. Vicky Zhao
Publisher : Springer Nature
Page : 148 pages
File Size : 42,7 Mb
Release : 2020-07-28
Category : Computers
ISBN : 9789811571602

Get Book

Behavior and Evolutionary Dynamics in Crowd Networks by Yan Chen,H. Vicky Zhao Pdf

This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. In the emerging crowd cyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other’s decisions. It is crucial to understand such intelligent entities’ behaviors and to study their strategic interactions in order to provide important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy. This book reviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networks and discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavior on the network evolution process and demonstrates how this can help improve network performance. Intended for graduate students and researchers from various disciplines, including but not limited to, data science, networking, signal processing, complex systems, and economics, the book encourages researchers in related research fields to explore the many untouched areas in this domain, and ultimately to design crowd networks with efficient, effective, and reliable services.

Swarm Intelligence

Andrew Schumann
Swarm Intelligence Book PDF

Author : Andrew Schumann
Publisher : CRC Press
Page : 206 pages
File Size : 43,8 Mb
Release : 2020-11-03
Category : Computers
ISBN : 9780429647604

Get Book

Swarm Intelligence by Andrew Schumann Pdf

The notion of swarm intelligence was introduced for describing decentralized and self-organized behaviors of groups of animals. Then this idea was extrapolated to design groups of robots which interact locally to cumulate a collective reaction. Some natural examples of swarms are as follows: ant colonies, bee colonies, fish schooling, bird flocking, horse herding, bacterial colonies, multinucleated giant amoebae Physarum polycephalum, etc. In all these examples, individual agents behave locally with an emergence of their common effect. An intelligent behavior of swarm individuals is explained by the following biological reactions to attractants and repellents. Attractants are biologically active things, such as food pieces or sex pheromones, which attract individuals of swarm. Repellents are biologically active things, such as predators, which repel individuals of swarm. As a consequence, attractants and repellents stimulate the directed movement of swarms towards and away from the stimulus, respectively. It is worth noting that a group of people, such as pedestrians, follow some swarm patterns of flocking or schooling. For instance, humans prefer to avoid a person considered by them as a possible predator and if a substantial part of the group in the situation of escape panic (not less than 5%) changes the direction, then the rest follows the new direction, too. Some swarm patterns are observed among human beings under the conditions of their addictive behavior such as the behavior of alcoholics or gamers. The methodological framework of studying swarm intelligence is represented by unconventional computing, robotics, and cognitive science. In this book we aim to analyze new methodologies involved in studying swarm intelligence. We are going to bring together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. This book considers different models of simulating, controlling, and predicting the swarm behavior of different species from social bacteria to humans.

Consensus and Synchronization in Complex Networks

Ljupco Kocarev
Consensus and Synchronization in Complex Networks Book PDF

Author : Ljupco Kocarev
Publisher : Springer
Page : 275 pages
File Size : 53,5 Mb
Release : 2013-01-18
Category : Science
ISBN : 9783642333590

Get Book

Consensus and Synchronization in Complex Networks by Ljupco Kocarev Pdf

In this book for the first time two scientific fields - consensus formation and synchronization of communications - are presented together and examined through their interrelational aspects, of rapidly growing importance. Both fields have indeed attracted enormous research interest especially in relation to complex networks. In networks of dynamic systems (or agents), consensus means to reach an agreement regarding a certain quantity of interest that depends on the state of all dynamical systems (agents). Consensus problems have a long history in control theory and computer sciences, and form the foundation of the field of distributed computing. Synchronization, which defines correlated-in-time behavior between different processes and roots going back to Huygens to the least, is now a highly popular, exciting and rapidly developing topic, with applications ranging from biological networks to mathematical epidemiology, and from processing information in the brain to engineering of communications devices. The book reviews recent finding in both fields and describes novel approaches to consensus formation, where consensus is realized as an instance of the nonlinear dynamics paradigm of chaos synchronization. The chapters are written by world-known experts in both fields and cover topics ranging from fundaments to various applications of consensus and synchronization.

Artificial Intelligence and Soft Computing

Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
Artificial Intelligence and Soft Computing Book PDF

Author : Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
Publisher : Springer
Page : 712 pages
File Size : 52,7 Mb
Release : 2019-05-27
Category : Computers
ISBN : 9783030209155

Get Book

Artificial Intelligence and Soft Computing by Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada Pdf

The two-volume set LNCS 11508 and 11509 constitutes the refereed proceedings of of the 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019. The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; various problems of artificial intelligence; agent systems, robotics and control.

Swarm Intelligence

Felix Chan,Manoj Tiwari
Swarm Intelligence Book PDF

Author : Felix Chan,Manoj Tiwari
Publisher : BoD – Books on Demand
Page : 550 pages
File Size : 48,5 Mb
Release : 2007-12-01
Category : Computers
ISBN : 9783902613097

Get Book

Swarm Intelligence by Felix Chan,Manoj Tiwari Pdf

In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.

Advances in Soft Computing

Obdulia Pichardo-Lagunas,Sabino Miranda-Jiménez
Advances in Soft Computing Book PDF

Author : Obdulia Pichardo-Lagunas,Sabino Miranda-Jiménez
Publisher : Springer
Page : 552 pages
File Size : 42,7 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9783319624280

Get Book

Advances in Soft Computing by Obdulia Pichardo-Lagunas,Sabino Miranda-Jiménez Pdf

The two-volume set LNAI 10061 and 10062 constitutes the proceedings of the 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, held in Cancún, Mexico, in October 2016. The total of 86 papers presented in these two volumes was carefully reviewed and selected from 238 submissions. The contributions were organized in the following topical sections: Part I: natural language processing; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; image processing and computer vision; robotics. Part II: general; reasoning and multi-agent systems; neural networks and deep learning; evolutionary algorithms; machine learning; classification and clustering; optimization; data mining; graph-based algorithms; and intelligent learning environments.

Handbook of Optimization

Ivan Zelinka,Václav Snásel,Ajith Abraham
Handbook of Optimization Book PDF

Author : Ivan Zelinka,Václav Snásel,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 1088 pages
File Size : 40,9 Mb
Release : 2012-08-13
Category : Computers
ISBN : 9783642305030

Get Book

Handbook of Optimization by Ivan Zelinka,Václav Snásel,Ajith Abraham Pdf

Optimization problems were and still are the focus of mathematics from antiquity to the present. Since the beginning of our civilization, the human race has had to confront numerous technological challenges, such as finding the optimal solution of various problems including control technologies, power sources construction, applications in economy, mechanical engineering and energy distribution amongst others. These examples encompass both ancient as well as modern technologies like the first electrical energy distribution network in USA etc. Some of the key principles formulated in the middle ages were done by Johannes Kepler (Problem of the wine barrels), Johan Bernoulli (brachystochrone problem), Leonhard Euler (Calculus of Variations), Lagrange (Principle multipliers), that were formulated primarily in the ancient world and are of a geometric nature. In the beginning of the modern era, works of L.V. Kantorovich and G.B. Dantzig (so-called linear programming) can be considered amongst others. This book discusses a wide spectrum of optimization methods from classical to modern, alike heuristics. Novel as well as classical techniques is also discussed in this book, including its mutual intersection. Together with many interesting chapters, a reader will also encounter various methods used for proposed optimization approaches, such as game theory and evolutionary algorithms or modelling of evolutionary algorithm dynamics like complex networks.

Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring

Andrew Schumann
Behaviourism in Studying Swarms Logical Models of Sensing and Motoring Book PDF

Author : Andrew Schumann
Publisher : Springer
Page : 468 pages
File Size : 42,7 Mb
Release : 2018-05-25
Category : Technology & Engineering
ISBN : 9783319915425

Get Book

Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring by Andrew Schumann Pdf

This book presents fundamental theoretical results for designing object-oriented programming languages for controlling swarms. It studies the logics of swarm behaviours. According to behaviourism, all behaviours can be controlled or even managed by stimuli in the environment: attractants (motivational reinforcement) and repellents (motivational punishment). At the same time, there are two main stages in reactions to stimuli: sensing (perceiving signals) and motoring (appropriate direct reactions to signals). This book examines the strict limits of behaviourism from the point of view of symbolic logic and algebraic mathematics: how far can animal behaviours be controlled by the topology of stimuli? On the one hand, we can try to design reversible logic gates in which the number of inputs is the same as the number of outputs. In this case, the behaviouristic stimuli are inputs in swarm computing and appropriate reactions at the motoring stage are its outputs. On the other hand, the problem is that even at the sensing stage each unicellular organism can be regarded as a logic gate in which the number of outputs (means of perceiving signals) greatly exceeds the number of inputs (signals).