Extremal Optimization

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Extremal Optimization

Author : Yong-Zai Lu
Publisher : CRC Press
ISBN 13 : 1315360071
Total Pages : 228 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Extremal Optimization by : Yong-Zai Lu

Download or read book Extremal Optimization written by Yong-Zai Lu and published by CRC Press. This book was released on 2018-09-03 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors’ recent original research results. It promotes the movement of EO from academic study to practical applications. The book covers four aspects, beginning with a general review of real-world optimization problems and popular solutions with a focus on computational complexity, such as "NP-hard" and the "phase transitions" occurring on the search landscape. Next, it introduces computational extremal dynamics and its applications in EO from principles, mechanisms, and algorithms to the experiments on some benchmark problems such as TSP, spin glass, Max-SAT (maximum satisfiability), and graph partition. It then presents studies on the fundamental features of search dynamics and mechanisms in EO with a focus on self-organized optimization, evolutionary probability distribution, and structure features (e.g., backbones), which are based on the authors’ recent research results. Finally, it discusses applications of EO and MEO in multiobjective optimization, systems modeling, intelligent control, and production scheduling. The authors present the advanced features of EO in solving NP-hard problems through problem formulation, algorithms, and simulation studies on popular benchmarks and industrial applications. They also focus on the development of MEO and its applications. This book can be used as a reference for graduate students, research developers, and practical engineers who work on developing optimization solutions for those complex systems with hardness that cannot be solved with mathematical optimization or other computational intelligence, such as evolutionary computations.

Extremal Optimization

Author : Yong-Zai Lu
Publisher : CRC Press
ISBN 13 : 1315362341
Total Pages : 334 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Extremal Optimization by : Yong-Zai Lu

Download or read book Extremal Optimization written by Yong-Zai Lu and published by CRC Press. This book was released on 2018-09-03 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors’ recent original research results. It promotes the movement of EO from academic study to practical applications. The book covers four aspects, beginning with a general review of real-world optimization problems and popular solutions with a focus on computational complexity, such as "NP-hard" and the "phase transitions" occurring on the search landscape. Next, it introduces computational extremal dynamics and its applications in EO from principles, mechanisms, and algorithms to the experiments on some benchmark problems such as TSP, spin glass, Max-SAT (maximum satisfiability), and graph partition. It then presents studies on the fundamental features of search dynamics and mechanisms in EO with a focus on self-organized optimization, evolutionary probability distribution, and structure features (e.g., backbones), which are based on the authors’ recent research results. Finally, it discusses applications of EO and MEO in multiobjective optimization, systems modeling, intelligent control, and production scheduling. The authors present the advanced features of EO in solving NP-hard problems through problem formulation, algorithms, and simulation studies on popular benchmarks and industrial applications. They also focus on the development of MEO and its applications. This book can be used as a reference for graduate students, research developers, and practical engineers who work on developing optimization solutions for those complex systems with hardness that cannot be solved with mathematical optimization or other computational intelligence, such as evolutionary computations.

Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics

Author : Thomas Stützle
Publisher : Springer Science & Business Media
ISBN 13 : 3642111688
Total Pages : 284 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics by : Thomas Stützle

Download or read book Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics written by Thomas Stützle and published by Springer Science & Business Media. This book was released on 2009-12-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Learning and Intelligent Optimization, LION 2009 III, held in Trento, Italy, in January 2009. The 15 revised full papers, one extended abstract and two poster sessions were carefully reviewed and selected from 86 submissions for inclusion in the book. The papers cover current issues of stochastic local search methods and meta-heuristics, hybridizations of constraint and mathematical programming with meta-heuristics, supervised, unsupervised and reinforcement learning applied to heuristic search, reactive search (online self-tuning methods), algorithm portfolios and off-line tuning methods, algorithms for dynamic, stochastic and multi-objective problems, interface(s) between discrete and continuous optimization, experimental analysis and modeling of algorithms, theoretical foundations, parallelization of optimization algorithms, memory-based optimization, prohibition-based methods (tabu search), memetic algorithms, evolutionary algorithms, dynamic local search, iterated local search, variable neighborhood search and swarm intelligence methods (ant colony optimization, particle swarm optimization etc.).

Biologically-Inspired Optimisation Methods

Author : Andrew Lewis
Publisher : Springer
ISBN 13 : 3642012620
Total Pages : 360 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Biologically-Inspired Optimisation Methods by : Andrew Lewis

Download or read book Biologically-Inspired Optimisation Methods written by Andrew Lewis and published by Springer. This book was released on 2009-05-12 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation.

Nature-Inspired Computing

Author : Nazmul H. Siddique
Publisher : CRC Press
ISBN 13 : 1351644912
Total Pages : 616 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Nature-Inspired Computing by : Nazmul H. Siddique

Download or read book Nature-Inspired Computing written by Nazmul H. Siddique and published by CRC Press. This book was released on 2017-05-19 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. This endeavour is another attempt at investigation into various computational schemes inspired from nature, which are presented in this book with the development of a suitable framework and industrial applications. Designed for senior undergraduates, postgraduates, research students, and professionals, the book is written at a comprehensible level for students who have some basic knowledge of calculus and differential equations, and some exposure to optimization theory. Due to the focus on search and optimization, the book is also appropriate for electrical, control, civil, industrial and manufacturing engineering, business, and economics students, as well as those in computer and information sciences. With the mathematical and programming references and applications in each chapter, the book is self-contained, and can also serve as a reference for researchers and scientists in the fields of system science, natural computing, and optimization.

Decision Making

Author : Paolo Grigolini
Publisher : World Scientific
ISBN 13 : 9814458295
Total Pages : 208 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Decision Making by : Paolo Grigolini

Download or read book Decision Making written by Paolo Grigolini and published by World Scientific. This book was released on 2011-07-19 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book captures the proceedings of a workshop that brought together a group of distinguished scientists from a variety of disciplines to discuss how networking influences decision making. The individual lectures interconnect psychological testing, the modeling of neuron networks and brain dynamics to the transport of information within and between complex networks. Of particular importance was the introduction of a new principle that governs how complex networks talk to one another — the Principle of Complexity Management (PCM). PCM establishes that the transfer of information from a stimulating complex network to a responding complex network is determined by how the complexity indices of the two networks are related. The response runs the gamut from being independent of the perturbation to being completely dominated by it, depending on the complexity mismatch. Contents:Overview of ARO Program on Network Science for Human Decision Making (B J West)Viewing the Extended Mind Hypothesis(Clark & Chambers) in Terms of Complex Systems Dynamics (G Werner)Uncertainty in Psychophysics: Deriving a Network of Psychophysical Equations (K H Norwich)The Collective Brain (E Tagliazucchi and D R Chialvo)Acquiring Long-Range Memory Through Adaptive Avalanches (S Boettcher)Random Walk of Complex Networks: From Infinitely Slow to Instantaneous Transition to Equilibrium (N W Hollingshad, P Grigolini and P Allegrini)Coherence and Complexity (M Bologna, E Geneston, P Grigolini, M Turalska and M Lukovic)Quakes in Complex Systems as a Signature of Cooperation (E Geneston and P Grigolini)Renewal Processes in the Critical Brain (P Allegrini, P Paradisi, D Menicucci and A Gemignani)The Principle of Complexity Management (B J West and P Grigolini) Readership: For professional and research level studies in psychophysics. Keywords:Network Science;Complexity;Neural Avalanches;Brain Dynamics;Decision Making;Coherence;UncertaintyKey Features:Due to the heterogeneous nature of the audience the lectures avoid being overly specialized but maintain scientific integrity while reaching across disciplines thereby making them accessible to students at all levelsExplicit contact is made between the qualitative concepts of classical psychology such as the mind and the quantitative methods of psychophysics and neurophysiology by some of today's outstanding scientistsNo other treatment of decision making takes advantage of the technical developments that have been made in the analyses of complex networks over the past decade

Decision Making

Author : Paolo Grigolini
Publisher : World Scientific
ISBN 13 : 9814365815
Total Pages : 207 pages
Book Rating : 4.8/5 (143 download)

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Book Synopsis Decision Making by : Paolo Grigolini

Download or read book Decision Making written by Paolo Grigolini and published by World Scientific. This book was released on 2011 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book captures the proceedings of a workshop that brought together a group of distinguished scientists from a variety of disciplines to discuss how networking influences decision making. The individual lectures interconnect psychological testing, the modeling of neuron networks and brain dynamics to the transport of information within and between complex networks. Of particular importance was the introduction of a new principle that governs how complex networks talk to one another ? the Principle of Complexity Management (PCM). PCM establishes that the transfer of information from a stimulating complex network to a responding complex network is determined by how the complexity indices of the two networks are related. The response runs the gamut from being independent of the perturbation to being completely dominated by it, depending on the complexity mismatch.

Applications of Evolutionary Computing

Author : Anna I. Esparcia-Alcázar
Publisher : Springer
ISBN 13 : 3642371922
Total Pages : 639 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Applications of Evolutionary Computing by : Anna I. Esparcia-Alcázar

Download or read book Applications of Evolutionary Computing written by Anna I. Esparcia-Alcázar and published by Springer. This book was released on 2013-03-12 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 65 revised full papers presented were carefully reviewed and selected from 119 submissions. EvoApplications 2013 consisted of the following 12 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Optimisation Algorithms for Hand Posture Estimation

Author : Shahrzad Saremi
Publisher : Springer Nature
ISBN 13 : 9811397570
Total Pages : 205 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Optimisation Algorithms for Hand Posture Estimation by : Shahrzad Saremi

Download or read book Optimisation Algorithms for Hand Posture Estimation written by Shahrzad Saremi and published by Springer Nature. This book was released on 2019-08-26 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the literature on hand posture estimation using generative methods, identifying the current gaps, such as sensitivity to hand shapes, sensitivity to a good initial posture, difficult hand posture recovery in cases of loss in tracking, and lack of addressing multiple objectives to maximize accuracy and minimize computational cost. To fill these gaps, it proposes a new 3D hand model that combines the best features of the current 3D hand models in the literature. It also discusses the development of a hand shape optimization technique. To find the global optimum for the single-objective problem formulated, it improves and applies particle swarm optimization (PSO), one of the most highly regarded optimization algorithms and one that is used successfully in both science and industry. After formulating the problem, multi-objective particle swarm optimization (MOPSO) is employed to estimate the Pareto optimal front as the solution for this bi-objective problem. The book also demonstrates the effectiveness of the improved PSO in hand posture recovery in cases of tracking loss. Lastly, the book examines the formulation of hand posture estimation as a bi-objective problem for the first time. The case studies included feature 50 hand postures extracted from five standard datasets, and were used to benchmark the proposed 3D hand model, hand shape optimization, and hand posture recovery.

Computational Intelligence and Intelligent Systems

Author : Kangshun Li
Publisher : Springer
ISBN 13 : 9811316511
Total Pages : 573 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Computational Intelligence and Intelligent Systems by : Kangshun Li

Download or read book Computational Intelligence and Intelligent Systems written by Kangshun Li and published by Springer. This book was released on 2018-07-20 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 873 and CCIS 874) constitutes the thoroughly refereed proceedings of the 9th International Symposium, ISICA 2017, held in Guangzhou, China, in November 2017. The 101 full papers presented in both volumes were carefully reviewed and selected from 181 submissions. This second volume is organized in topical sections on swarm intelligence: cooperative Search, swarm optimization; complex systems modeling: system dynamic, multimedia simulation; intelligent information systems: information retrieval, e-commerce platforms; artificial intelligence and robotics: query optimization, intelligent engineering; virtualization: motion-based tracking, image recognition.

Evolutionary Computation in Combinatorial Optimization

Author : Francisco Chicano
Publisher : Springer
ISBN 13 : 3319306987
Total Pages : 267 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Francisco Chicano

Download or read book Evolutionary Computation in Combinatorial Optimization written by Francisco Chicano and published by Springer. This book was released on 2016-03-15 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 17 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic algorithms, variable neighborhood search, particle swarm optimization, hyperheuristics, mat-heuristic and other adaptive approaches. Applications included both traditional domains, such as graph coloring, vehicle routing, the longest common subsequence problem, the quadratic assignment problem; and new(er) domains such as the traveling thief problem, web service location, and finding short addition chains. The theoretical studies involved fitness landscape analysis, local search and recombination operator analysis, and the big valley search space hypothesis. The consideration of multiple objectives, dynamic and noisy environments was also present in a number of articles.

Artificial Evolution

Author : Pierre Collet
Publisher : Springer Science & Business Media
ISBN 13 : 3642141552
Total Pages : 216 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Artificial Evolution by : Pierre Collet

Download or read book Artificial Evolution written by Pierre Collet and published by Springer Science & Business Media. This book was released on 2010-07-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS series reports state-of-the-art results in computer science reserch, development, and education, at a high level and in both printed and electronic form. Enjoying light cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.

Advances in Swarm Intelligence

Author : Ying Tan
Publisher : Springer
ISBN 13 : 3319118579
Total Pages : 510 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances in Swarm Intelligence by : Ying Tan

Download or read book Advances in Swarm Intelligence written by Ying Tan and published by Springer. This book was released on 2014-09-03 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.

Fuzzy Optimization

Author : Weldon A. Lodwick
Publisher : Springer
ISBN 13 : 3642139353
Total Pages : 530 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Fuzzy Optimization by : Weldon A. Lodwick

Download or read book Fuzzy Optimization written by Weldon A. Lodwick and published by Springer. This book was released on 2010-07-23 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization is an extremely important area in science and technology which provides powerful and useful tools and techniques for the formulation and solution of a multitude of problems in which we wish, or need, to to find a best possible option or solution. The volume is divided into a coupe of parts which present various aspects of fuzzy optimization, some related more general issues, and applications.

Computational Modeling and Problem Solving in the Networked World

Author : Hemant K. Bhargava
Publisher : Springer Science & Business Media
ISBN 13 : 9781402072956
Total Pages : 342 pages
Book Rating : 4.0/5 (729 download)

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Book Synopsis Computational Modeling and Problem Solving in the Networked World by : Hemant K. Bhargava

Download or read book Computational Modeling and Problem Solving in the Networked World written by Hemant K. Bhargava and published by Springer Science & Business Media. This book was released on 2002-12-31 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of a selected subset of research articles presented at the Eighth INFORMS Computing Society Conference, held in Chandler, Arizona, from January 8 to 10, 2003. The articles in this book represent the diversity and depth of the interface between ORiMS (operations research and the management sciences) and CS/AI (computer science and artificial intelligence ). This volume starts with two papers that represent the reflective and integrative thinking that is critical to any scientific discipline. These two articles present philosophical perspectives on computation, covering a variety of traditional and newer methods for modeling, solving, and explaining mathematical models. The next set includes articles that study machine learning and computational heuristics, and is followed by articles that address issues in performance testing of solution algorithms and heuristics. These two sets of papers demonstrate the richness of thought that takes place at the ORiMS and CSI AI interface. The final set of articles demonstrates the usefulness of these and other methods at the interface towards solving problems in the real world, covering e-commerce, workflow, electronic negotiation, music, parallel computation, and telecommunications. The articles in this collection represent the results of cross-fertilization between ORiMS and CSI AI, making possible advances that could have not been achieved in isolation. The continuing aim ofthe INFORMS Computing Society and this research conference is to invigorate and further develop this interface.

Simulated Evolution and Learning

Author : Xiaodong Li
Publisher : Springer Science & Business Media
ISBN 13 : 3540896937
Total Pages : 672 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Simulated Evolution and Learning by : Xiaodong Li

Download or read book Simulated Evolution and Learning written by Xiaodong Li and published by Springer Science & Business Media. This book was released on 2008-11-19 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 7th International Conference on Simulated Evolution and Learning, SEAL 2008, held in Melbourne, Australia, during December 7-10, 2008. The 65 papers presented were carefully reviewed and selected from 140 submissions. The topics covered are evolutionary learning; evolutionary optimisation; hybrid learning; adaptive systems; theoretical issues in evolutionary computation; and real-world applications of evolutionary computation techniques.

Computational Intelligence and Security

Author : Yunping Wang
Publisher : Springer
ISBN 13 : 3540743774
Total Pages : 1118 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence and Security by : Yunping Wang

Download or read book Computational Intelligence and Security written by Yunping Wang and published by Springer. This book was released on 2007-09-13 with total page 1118 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed post-proceedings of the International Conference on Computational Intelligence and Security are presented in this volume. The 116 papers were submitted to two rounds of careful review. Papers cover bio-inspired computing, evolutionary computation, learning systems and multi-agents, cryptography, information processing and intrusion detection, systems and security, image and signal processing, and pattern recognition.