Nature Inspired Cooperative Strategies For Optimization Nicso 2008

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Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)

Author : Natalio Krasnogor
Publisher : Springer Science & Business Media
ISBN 13 : 3642032109
Total Pages : 320 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2008) by : Natalio Krasnogor

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2008) written by Natalio Krasnogor and published by Springer Science & Business Media. This book was released on 2009-09-14 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inspiration from Biology and the Natural Evolution process has become a research area within computer science. For instance, the description of the arti?cial neuron given by McCulloch and Pitts was inspired from biological observations of neural mechanisms; the power of evolution in nature in the diverse species that make up our world has been related to a particular form of problem solving based on the idea of survival of the ?ttest; similarly, - ti?cial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The ?rst and second editions of the International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), were held in Granada, Spain, 2006, and in Acireale, Italy, 2007, respectively. As in these two previous editions, the aim of NICSO 2008, held in Tenerife, Spain, was to provide a forum were the latest ideas and state of the art research related to nature inspired cooperative strategies for problem solving were discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributionsincludenature-inspiredtechniqueslikeGeneticAlgorithms,Ant Colonies, Amorphous Computing, Arti?cial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.

Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)

Author : Carlos Cruz
Publisher : Springer Science & Business Media
ISBN 13 : 3642125379
Total Pages : 401 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) by : Carlos Cruz

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) written by Carlos Cruz and published by Springer Science & Business Media. This book was released on 2010-04-07 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many aspects of Nature, Biology or even from Society have become part of the techniques and algorithms used in computer science or they have been used to enhance or hybridize several techniques through the inclusion of advanced evolution, cooperation or biologically based additions. The previous NICSO workshops were held in Granada, Spain, 2006, Acireale, Italy, 2007, and in Tenerife, Spain, 2008. As in the previous editions, NICSO 2010, held in Granada, Spain, was conceived as a forum for the latest ideas and the state of the art research related to nature inspired cooperative strategies. The contributions collected in this book cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as new algorithms based on the behaviour of fireflies or bats.

Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

Author : David Alejandro Pelta
Publisher : Springer
ISBN 13 : 3642240941
Total Pages : 359 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) by : David Alejandro Pelta

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) written by David Alejandro Pelta and published by Springer. This book was released on 2011-10-29 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation. The previous editions of NICSO were held in Granada, Spain (2006), Acireale, Italy (2007), Tenerife, Spain (2008), and again in Granada in 2010. NICSO evolved to be one of the most interesting and profiled workshops in nature inspired computing. NICSO 2011 has offered an inspiring environment for debating the state of the art ideas and techniques in nature inspired cooperative strategies and a comprehensive image on recent applications of these ideas and techniques. The topics covered by this volume include Swarm Intelligence (such as Ant and Bee Colony Optimization), Genetic Algorithms, Multiagent Systems, Coevolution and Cooperation strategies, Adversarial Models, Synergic Building Blocks, Complex Networks, Social Impact Models, Evolutionary Design, Self Organized Criticality, Evolving Systems, Cellular Automata, Hybrid Algorithms, and Membrane Computing (P-Systems).

Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)

Author : Natalio Krasnogor
Publisher : Springer Science & Business Media
ISBN 13 : 3540789863
Total Pages : 520 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) by : Natalio Krasnogor

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) written by Natalio Krasnogor and published by Springer Science & Business Media. This book was released on 2008-05-14 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), was held in Acireale, Italy, during November 8-10, 2007. The aim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributions include several well established nature inspired techniques like Genetic Algorithms, Ant Colonies, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)

Author : German Terrazas
Publisher : Springer
ISBN 13 : 331901692X
Total Pages : 357 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) by : German Terrazas

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) written by German Terrazas and published by Springer. This book was released on 2013-08-15 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation. This book is a collection of research works presented in the VI International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO) held in Canterbury, UK. Previous editions of NICSO were held in Granada, Spain (2006 & 2010), Acireale, Italy (2007), Tenerife, Spain (2008), and Cluj-Napoca, Romania (2011). NICSO 2013 and this book provides a place where state-of-the-art research, latest ideas and emerging areas of nature inspired cooperative strategies for problem solving are vigorously discussed and exchanged among the scientific community. The breadth and variety of articles in this book report on nature inspired methods and applications such as Swarm Intelligence, Hyper-heuristics, Evolutionary Algorithms, Cellular Automata, Artificial Bee Colony, Dynamic Optimization, Support Vector Machines, Multi-Agent Systems, Ant Clustering, Evolutionary Design Optimisation, Game Theory and other several Cooperation Models.

Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

Author : David Alejandro Pelta
Publisher : Springer Science & Business Media
ISBN 13 : 3642240933
Total Pages : 359 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) by : David Alejandro Pelta

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) written by David Alejandro Pelta and published by Springer Science & Business Media. This book was released on 2011-10-09 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation. The previous editions of NICSO were held in Granada, Spain (2006), Acireale, Italy (2007), Tenerife, Spain (2008), and again in Granada in 2010. NICSO evolved to be one of the most interesting and profiled workshops in nature inspired computing. NICSO 2011 has offered an inspiring environment for debating the state of the art ideas and techniques in nature inspired cooperative strategies and a comprehensive image on recent applications of these ideas and techniques. The topics covered by this volume include Swarm Intelligence (such as Ant and Bee Colony Optimization), Genetic Algorithms, Multiagent Systems, Coevolution and Cooperation strategies, Adversarial Models, Synergic Building Blocks, Complex Networks, Social Impact Models, Evolutionary Design, Self Organized Criticality, Evolving Systems, Cellular Automata, Hybrid Algorithms, and Membrane Computing (P-Systems).

Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)

Author : Carlos Cruz
Publisher : Springer
ISBN 13 : 3642125387
Total Pages : 401 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) by : Carlos Cruz

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) written by Carlos Cruz and published by Springer. This book was released on 2010-04-16 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many aspects of Nature, Biology or even from Society have become part of the techniques and algorithms used in computer science or they have been used to enhance or hybridize several techniques through the inclusion of advanced evolution, cooperation or biologically based additions. The previous NICSO workshops were held in Granada, Spain, 2006, Acireale, Italy, 2007, and in Tenerife, Spain, 2008. As in the previous editions, NICSO 2010, held in Granada, Spain, was conceived as a forum for the latest ideas and the state of the art research related to nature inspired cooperative strategies. The contributions collected in this book cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as new algorithms based on the behaviour of fireflies or bats.

Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)

Author : Natalio Krasnogor
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (897 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) by : Natalio Krasnogor

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) written by Natalio Krasnogor and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nature-Inspired Algorithms and Applied Optimization

Author : Xin-She Yang
Publisher : Springer
ISBN 13 : 3319676695
Total Pages : 332 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Nature-Inspired Algorithms and Applied Optimization by : Xin-She Yang

Download or read book Nature-Inspired Algorithms and Applied Optimization written by Xin-She Yang and published by Springer. This book was released on 2017-10-08 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.

Intelligent Computer Graphics 2009

Author : Dimitri Plemenos
Publisher : Springer
ISBN 13 : 3642034527
Total Pages : 228 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Intelligent Computer Graphics 2009 by : Dimitri Plemenos

Download or read book Intelligent Computer Graphics 2009 written by Dimitri Plemenos and published by Springer. This book was released on 2009-10-13 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this volume is to present current work of the Intelligent Computer Graphics community, a community growing up year after year. This volume is a kind of continuation of the previously published Springer volume “Artificial Int- ligence Techniques for Computer Graphics”. Nowadays, intelligent techniques are more and more used in Computer Graphics in order, not only to optimise the pr- essing time, but also to find more accurate solutions for a lot of Computer Gra- ics problems, than with traditional methods. What are intelligent techniques for Computer Graphics? Mainly, they are te- niques based on Artificial Intelligence. So, problem resolution (especially constraint satisfaction) techniques, as well as evolutionary techniques, are used in Declarative scene Modelling; heuristic search techniques, as well as strategy games techniques, are currently used in scene understanding and in virtual world exploration; multi-agent techniques and evolutionary algorithms are used in behavioural animation; and so on. However, even if in most cases the used intelligent techniques are due to Artificial - telligence, sometimes, simple human intelligence can find interesting solutions in cases where traditional Computer Graphics techniques, even combined with Artificial Intelligence ones, cannot propose any satisfactory solution. A good example of such a case is the one of scene understanding, in the case where several parts of the scene are impossible to access.

Non-Standard Parameter Adaptation for Exploratory Data Analysis

Author : Wesam Ashour Barbakh
Publisher : Springer
ISBN 13 : 3642040055
Total Pages : 231 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Non-Standard Parameter Adaptation for Exploratory Data Analysis by : Wesam Ashour Barbakh

Download or read book Non-Standard Parameter Adaptation for Exploratory Data Analysis written by Wesam Ashour Barbakh and published by Springer. This book was released on 2009-09-30 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset. Such optimisation is often performed with gradient descent or variations thereof. In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard criteria for clustering. The family of algorithms developed are shown to perform better than the standard clustering algorithms on a variety of datasets. We then consider extensions of the basic mappings which maintain some topology of the original data space. Finally we show how reinforcement learning can be used as a clustering mechanism before turning to projection methods. We show that several varieties of reinforcement learning may also be used to define optimal projections for example for principal component analysis, exploratory projection pursuit and canonical correlation analysis. The new method of cross entropy adaptation is then introduced and used as a means of optimising projections. Finally an artificial immune system is used to create optimal projections and combinations of these three methods are shown to outperform the individual methods of optimisation.

Towards Intelligent Engineering and Information Technology

Author : Imre J. Rudas
Publisher : Springer Science & Business Media
ISBN 13 : 3642037364
Total Pages : 719 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Towards Intelligent Engineering and Information Technology by : Imre J. Rudas

Download or read book Towards Intelligent Engineering and Information Technology written by Imre J. Rudas and published by Springer Science & Business Media. This book was released on 2009-08-18 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art of computational intelligence ion engineering. It offers challenging problems for efficient modeling of intelligent systems and details different methodologies of computational intelligence with real life applications.

Aspects of Soft Computing, Intelligent Robotics and Control

Author : János Fodor
Publisher : Springer
ISBN 13 : 3642036333
Total Pages : 274 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Aspects of Soft Computing, Intelligent Robotics and Control by : János Fodor

Download or read book Aspects of Soft Computing, Intelligent Robotics and Control written by János Fodor and published by Springer. This book was released on 2009-10-13 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow developing flexible computing tools and solving complex problems. A wide area of natural applications of soft computing techniques consists of the control of dynamic systems, including robots. Loosely speaking, control can be understood as driving a process to attain a desired goal. Intelligent control can be seen as an extension of this concept, to include autonomous human-like interactions of a machine with the environment. Intelligent robots can be characterized by the ability to operate in an uncertain, changing environment with the help of appropriate sensing. They have the power to autonomously plan and execute motion sequences to achieve a goal specified by a human user without detailed instructions. In this volume leading specialists address various theoretical and practical aspects in soft computing, intelligent robotics and control. The problems discussed are taken from fuzzy systems, neural networks, interactive evolutionary computation, intelligent mobile robotics, and intelligent control of linear and nonlinear dynamic systems.

Swarm Intelligence for Multi-objective Problems in Data Mining

Author : Carlos Coello Coello
Publisher : Springer Science & Business Media
ISBN 13 : 3642036244
Total Pages : 296 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Swarm Intelligence for Multi-objective Problems in Data Mining by : Carlos Coello Coello

Download or read book Swarm Intelligence for Multi-objective Problems in Data Mining written by Carlos Coello Coello and published by Springer Science & Business Media. This book was released on 2009-09-28 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

Modelling and Implementation of Complex Systems

Author : Salim Chikhi
Publisher : Springer
ISBN 13 : 3030054810
Total Pages : 354 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Modelling and Implementation of Complex Systems by : Salim Chikhi

Download or read book Modelling and Implementation of Complex Systems written by Salim Chikhi and published by Springer. This book was released on 2018-11-29 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the fifth International Symposium on Modelling and Implementation of Complex Systems (MISC 2018). The event was held in Laghouat, Algeria, on December 16–18, 2018. The 25 papers gathered here have been selected from 109 submissions using a strict peer-review process, and address a range of topics concerning the theory and applications of networking and distributed computing, including: cloud computing and the IoT, metaheuristics and optimization, computational intelligence, software engineering and formal methods.

New Challenges in Computational Collective Intelligence

Author : Radoslaw Katarzyniak
Publisher : Springer
ISBN 13 : 3642039588
Total Pages : 347 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis New Challenges in Computational Collective Intelligence by : Radoslaw Katarzyniak

Download or read book New Challenges in Computational Collective Intelligence written by Radoslaw Katarzyniak and published by Springer. This book was released on 2009-09-29 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collective intelligence has become one of major research issues studied by today’s and future computer science. Computational collective intelligence is understood as this form of group intellectual activity that emerges from collaboration and compe- tion of many artificial individuals. Robotics, artificial intelligence, artificial cognition and group working try to create efficient models for collective intelligence in which it emerges from sets of actions carried out by more or less intelligent individuals. The major methodological, theoretical and practical aspects underlying computational collective intelligence are group decision making, collective action coordination, collective competition and knowledge description, transfer and integration. Obviously, the application of multiple computational technologies such as fuzzy systems, evo- tionary computation, neural systems, consensus theory, knowledge representation etc. is necessary to create new forms of computational collective intelligence and support existing ones. Three subfields of application of computational technologies to support forms of collective intelligence are of special attention to us. The first one is semantic web treated as an advanced tool that increases the collective intelligence in networking environments. The second one covers social networks modeling and analysis, where social networks are this area of in which various forms of computational collective intelligence emerges in a natural way. The third subfield relates us to agent and mul- agent systems understood as this computational and modeling paradigm which is especially tailored to capture the nature of computational collective intelligence in populations of autonomous individuals.

Artificial Intelligence Perspectives in Intelligent Systems

Author : Radek Silhavy
Publisher : Springer
ISBN 13 : 3319336258
Total Pages : 523 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Artificial Intelligence Perspectives in Intelligent Systems by : Radek Silhavy

Download or read book Artificial Intelligence Perspectives in Intelligent Systems written by Radek Silhavy and published by Springer. This book was released on 2016-04-26 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is based on the research papers presented in the 5th Computer Science On-line Conference. The volume Artificial Intelligence Perspectives in Intelligent Systems presents modern trends and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of artificial intelligence. New algorithms in a variety of fields are also presented. The Computer Science On-line Conference (CSOC 2016) is intended to provide an international forum for discussions on the latest research results in all areas related to Computer Science. The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering.