Nature Inspired Cooperative Strategies For Optimization Nicso 2010

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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 2010)

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

DOWNLOAD NOW!

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 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)

DOWNLOAD NOW!

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 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 Computing and Optimization

Author : Srikanta Patnaik
Publisher : Springer
ISBN 13 : 3319509209
Total Pages : 506 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Nature-Inspired Computing and Optimization by : Srikanta Patnaik

Download or read book Nature-Inspired Computing and Optimization written by Srikanta Patnaik and published by Springer. This book was released on 2017-03-07 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

Nature-Inspired Intelligent Computing Techniques in Bioinformatics

Author : Khalid Raza
Publisher : Springer Nature
ISBN 13 : 9811963797
Total Pages : 340 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Nature-Inspired Intelligent Computing Techniques in Bioinformatics by : Khalid Raza

Download or read book Nature-Inspired Intelligent Computing Techniques in Bioinformatics written by Khalid Raza and published by Springer Nature. This book was released on 2022-10-31 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.

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.

Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

Author : Javier Del Ser Lorente
Publisher : BoD – Books on Demand
ISBN 13 : 1789233283
Total Pages : 71 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization by : Javier Del Ser Lorente

Download or read book Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization written by Javier Del Ser Lorente and published by BoD – Books on Demand. This book was released on 2018-07-18 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Author : Serdar Carbas
Publisher : Springer Nature
ISBN 13 : 9813367733
Total Pages : 420 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications by : Serdar Carbas

Download or read book Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications written by Serdar Carbas and published by Springer Nature. This book was released on 2021-03-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

Mathematical Foundations of Nature-Inspired Algorithms

Author : Xin-She Yang
Publisher : Springer
ISBN 13 : 3030169367
Total Pages : 107 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Mathematical Foundations of Nature-Inspired Algorithms by : Xin-She Yang

Download or read book Mathematical Foundations of Nature-Inspired Algorithms written by Xin-She Yang and published by Springer. This book was released on 2019-05-08 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms.

Nature-Inspired Optimization Algorithms

Author : Xin-She Yang
Publisher : Elsevier
ISBN 13 : 0124167454
Total Pages : 277 pages
Book Rating : 4.1/5 (241 download)

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

Download or read book Nature-Inspired Optimization Algorithms written by Xin-She Yang and published by Elsevier. This book was released on 2014-02-17 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm

100 Optimization Techniques

Author : Subrata Pandey
Publisher : SUBRATA PANDEY
ISBN 13 :
Total Pages : 103 pages
Book Rating : 4./5 ( download)

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Book Synopsis 100 Optimization Techniques by : Subrata Pandey

Download or read book 100 Optimization Techniques written by Subrata Pandey and published by SUBRATA PANDEY. This book was released on 2023-02-23 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: 100 optimization techniques is intended as a handbook for optimization techniques. Optimization techniques and algorithms are methods used to find the most efficient solution to a problem. Different techniques and algorithms may be used to solve a particular problem, depending on the nature of the problem. Researchers from varieties of domains are using optimization algorithms to solve problems in their domain. Different optimization techniques have their pros and cons. This book serves as a handbook for researchers who wants to know about different optimization methods currently available and their operating principles. One hundred optimization techniques are arranged in an alphabetical order. Researchers and students who want to use different optimization techniques for solving their domain related problems will find this book helpful.

Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach

Author : Duc Truong Pham
Publisher : Springer Nature
ISBN 13 : 3031145372
Total Pages : 397 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach by : Duc Truong Pham

Download or read book Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach written by Duc Truong Pham and published by Springer Nature. This book was released on 2022-11-19 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first work dedicated to the Bees Algorithm. Following a gentle introduction to the main ideas underpinning the algorithm, the book presents recent results and developments relating to the algorithm and its application to optimisation problems in production and manufacturing. With the advent of the Fourth Industrial Revolution, production and manufacturing processes and systems have become more complex. To obtain the best performance from them requires efficient and effective optimisation techniques that do not depend on the availability of process or system models. Such models are usually either not obtainable or mathematically intractable due to the high degrees of nonlinearities and uncertainties in the processes and systems to be represented. The Bees Algorithm is a powerful swarm-based intelligent optimisation metaheuristic inspired by the foraging behaviour of honeybees. The algorithm is conceptually elegant and extremely easy to apply. All it needs to solve an optimisation problem is a means to evaluate the quality of potential solutions. This book demonstrates the simplicity, effectiveness and versatility of the algorithm and encourages its further adoption by engineers and researchers across the world to realise smart and sustainable manufacturing and production in the age of Industry 4.0 and beyond.

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Author : Anand Nayyar
Publisher : CRC Press
ISBN 13 : 042982016X
Total Pages : 298 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Advances in Swarm Intelligence for Optimizing Problems in Computer Science by : Anand Nayyar

Download or read book Advances in Swarm Intelligence for Optimizing Problems in Computer Science written by Anand Nayyar and published by CRC Press. This book was released on 2018-10-03 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.

Nature-inspired Metaheuristic Algorithms

Author : Xin-She Yang
Publisher : Luniver Press
ISBN 13 : 1905986289
Total Pages : 148 pages
Book Rating : 4.9/5 (59 download)

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Book Synopsis Nature-inspired Metaheuristic Algorithms by : Xin-She Yang

Download or read book Nature-inspired Metaheuristic Algorithms written by Xin-She Yang and published by Luniver Press. This book was released on 2010 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.