Evolutionary Robotics From Algorithms To Implementations

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Evolutionary Robotics

Author : Lingfeng Wang
Publisher : World Scientific
ISBN 13 : 9812773142
Total Pages : 267 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Evolutionary Robotics by : Lingfeng Wang

Download or read book Evolutionary Robotics written by Lingfeng Wang and published by World Scientific. This book was released on 2006 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material. The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels. Sample Chapter(s). Chapter 1: Artificial Evolution Based Autonomous Robot Navigation (184 KB). Contents: Artificial Evolution Based Autonomous Robot Navigation; Evolvable Hardware in Evolutionary Robotics; FPGA-Based Autonomous Robot Navigation via Intrinsic Evolution; Intelligent Sensor Fusion and Learning for Autonomous Robot Navigation; Task-Oriented Developmental Learning for Humanoid Robots; Bipedal Walking Through Reinforcement Learning; Swing Time Generation for Bipedal Walking Control Using GA Tuned Fuzzy Logic Controller; Bipedal Walking: Stance Ankle Behavior Optimization Using Genetic Algorithm. Readership: Researchers in evolutionary robotics, and graduate and advanced undergraduate students in computational intelligence.

Evolutionary Robotics: From Algorithms To Implementations

Author : Ling-feng Wang
Publisher : World Scientific
ISBN 13 : 9814477524
Total Pages : 267 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Evolutionary Robotics: From Algorithms To Implementations by : Ling-feng Wang

Download or read book Evolutionary Robotics: From Algorithms To Implementations written by Ling-feng Wang and published by World Scientific. This book was released on 2006-07-17 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material.The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels.

Complex Behavior in Evolutionary Robotics

Author : Lukas König
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110408554
Total Pages : 262 pages
Book Rating : 4.1/5 (14 download)

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Book Synopsis Complex Behavior in Evolutionary Robotics by : Lukas König

Download or read book Complex Behavior in Evolutionary Robotics written by Lukas König and published by Walter de Gruyter GmbH & Co KG. This book was released on 2015-03-30 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, autonomous robots are used in a rather limited range of applications such as exploration of inaccessible locations, cleaning floors, mowing lawns etc. However, ongoing hardware improvements (and human fantasy) steadily reveal new robotic applications of significantly higher sophistication. For such applications, the crucial bottleneck in the engineering process tends to shift from physical boundaries to controller generation. As an attempt to automatize this process, Evolutionary Robotics has successfully been used to generate robotic controllers of various types. However, a major challenge of the field remains the evolution of truly complex behavior. Furthermore, automatically created controllers often lack analyzability which makes them useless for safety-critical applications. In this book, a simple controller model based on Finite State Machines is proposed which allows a straightforward analysis of evolved behaviors. To increase the model's evolvability, a procedure is introduced which, by adapting the genotype-phenotype mapping at runtime, efficiently traverses both the behavioral search space as well as (recursively) the search space of genotype-phenotype mappings. Furthermore, a data-driven mathematical framework is proposed which can be used to calculate the expected success of evolution in complex environments.

Evolutionary Robotics

Author : Stefano Nolfi
Publisher : MIT Press
ISBN 13 : 9780262140706
Total Pages : 338 pages
Book Rating : 4.1/5 (47 download)

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Book Synopsis Evolutionary Robotics by : Stefano Nolfi

Download or read book Evolutionary Robotics written by Stefano Nolfi and published by MIT Press. This book was released on 2000 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the basic concepts and methodologies of evolutionary robotics, which views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention.

New Horizons in Evolutionary Robotics

Author : Stéphane Doncieux
Publisher : Springer
ISBN 13 : 3642182720
Total Pages : 228 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis New Horizons in Evolutionary Robotics by : Stéphane Doncieux

Download or read book New Horizons in Evolutionary Robotics written by Stéphane Doncieux and published by Springer. This book was released on 2011-02-14 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Algorithms (EAs) now provide mature optimization tools that have successfully been applied to many problems, from designing antennas to complete robots, and provided many human-competitive results. In robotics, the integration of EAs within the engineer’s toolbox made tremendous progress in the last 20 years and proposes new methods to address challenging problems in various setups: modular robotics, swarm robotics, robotics with non-conventional mechanics (e.g. high redundancy, dynamic motion, multi-modality), etc. This book takes its roots in the workshop on "New Horizons in Evolutionary Design of Robots" that brought together researchers from Computer Science and Robotics during the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2009) in Saint Louis (USA). This book features extended contributions from the workshop, thus providing various examples of current problems and applications, with a special emphasis on the link between Computer Science and Robotics. It also provides a comprehensive and up-to-date introduction to Evolutionary Robotics after 20 years of maturation as well as thoughts and considerations from several major actors in the field. This book offers a comprehensive introduction to the current trends and challenges in Evolutionary Robotics for the next decade.

Evolutionary Computation for Modeling and Optimization

Author : Daniel Ashlock
Publisher : Springer Science & Business Media
ISBN 13 : 0387319093
Total Pages : 578 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Evolutionary Computation for Modeling and Optimization by : Daniel Ashlock

Download or read book Evolutionary Computation for Modeling and Optimization written by Daniel Ashlock and published by Springer Science & Business Media. This book was released on 2006-04-04 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.

Evolutionary Robotics. From Intelligent Robotics to Artificial Life

Author : Takashi Gomi
Publisher : Springer
ISBN 13 : 3540455027
Total Pages : 149 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Evolutionary Robotics. From Intelligent Robotics to Artificial Life by : Takashi Gomi

Download or read book Evolutionary Robotics. From Intelligent Robotics to Artificial Life written by Takashi Gomi and published by Springer. This book was released on 2003-06-30 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Symposium on Evolutionary Robotics, ER 2001, held in Tokyo, Japan, in October 2001. The seven revised full papers by the invited speakers Rodney A. Brooks, Dario Floreano, Robert J. Full, Inman Harvey, Owen Holland, Francesco Mondada, and Jordan B. Pollack were carefully selected and revised for presentation in the book. Among the topics addressed are imitation of life and machine consciousness, autonomous vision-based robots, evolved robots, living machines, artificial evolution, bioinspired artificial life locomotion, and mobile robotic systems engineering.

Introduction to Evolutionary Computing

Author : A.E. Eiben
Publisher : Springer
ISBN 13 : 3662448742
Total Pages : 294 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Introduction to Evolutionary Computing by : A.E. Eiben

Download or read book Introduction to Evolutionary Computing written by A.E. Eiben and published by Springer. This book was released on 2015-07-01 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.

Applications of Evolutionary Computation

Author : Giovanni Squillero
Publisher : Springer
ISBN 13 : 3319311530
Total Pages : 350 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Applications of Evolutionary Computation by : Giovanni Squillero

Download or read book Applications of Evolutionary Computation written by Giovanni Squillero and published by Springer. This book was released on 2016-03-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), 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), 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 robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Parallel Problem Solving from Nature -- PPSN XIII

Author : Thomas Bartz-Beielstein
Publisher : Springer
ISBN 13 : 3319107623
Total Pages : 977 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Parallel Problem Solving from Nature -- PPSN XIII by : Thomas Bartz-Beielstein

Download or read book Parallel Problem Solving from Nature -- PPSN XIII written by Thomas Bartz-Beielstein and published by Springer. This book was released on 2014-09-11 with total page 977 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Parallel Problem Solving from Nature, PPSN 2013, held in Ljubljana, Slovenia, in September 2014. The total of 90 revised full papers were carefully reviewed and selected from 217 submissions. The meeting began with 7 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN XIII also included 9 tutorials. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; classifier system, differential evolution and swarm intelligence; coevolution and artificial immune systems; constraint handling; dynamic and uncertain environments; estimation of distribution algorithms and metamodelling; genetic programming; multi-objective optimisation; parallel algorithms and hardware implementations; real world applications; and theory.

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Author : Igelnik, Boris
Publisher : IGI Global
ISBN 13 : 1609605527
Total Pages : 686 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Computational Modeling and Simulation of Intellect: Current State and Future Perspectives by : Igelnik, Boris

Download or read book Computational Modeling and Simulation of Intellect: Current State and Future Perspectives written by Igelnik, Boris and published by IGI Global. This book was released on 2011-05-31 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher.

Multi-Objective Optimization in Computational Intelligence: Theory and Practice

Author : Thu Bui, Lam
Publisher : IGI Global
ISBN 13 : 1599045001
Total Pages : 496 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Multi-Objective Optimization in Computational Intelligence: Theory and Practice by : Thu Bui, Lam

Download or read book Multi-Objective Optimization in Computational Intelligence: Theory and Practice written by Thu Bui, Lam and published by IGI Global. This book was released on 2008-05-31 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.

Variants of Evolutionary Algorithms for Real-World Applications

Author : Raymond Chiong
Publisher : Springer Science & Business Media
ISBN 13 : 3642234240
Total Pages : 470 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Variants of Evolutionary Algorithms for Real-World Applications by : Raymond Chiong

Download or read book Variants of Evolutionary Algorithms for Real-World Applications written by Raymond Chiong and published by Springer Science & Business Media. This book was released on 2011-11-13 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.

Evolutionary Computations

Author : Keigo Watanabe
Publisher :
ISBN 13 : 9783642535529
Total Pages : 196 pages
Book Rating : 4.5/5 (355 download)

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Book Synopsis Evolutionary Computations by : Keigo Watanabe

Download or read book Evolutionary Computations written by Keigo Watanabe and published by . This book was released on 2004-03-05 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention from scientists and engineers during the last decade. This monograph develops and analyzes evolutionary algorithms that can be successfully applied to real-world problems such as robotic control. Although of particular interest to robotic control engineers, Evolutionary Computations also may interest the large audience of researchers, engineers, designers and graduate students confronted with complicated optimization tasks.

Evolutionary Computations

Author : Keigo Watanabe
Publisher : Springer Science & Business Media
ISBN 13 : 9783540209010
Total Pages : 200 pages
Book Rating : 4.2/5 (9 download)

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Book Synopsis Evolutionary Computations by : Keigo Watanabe

Download or read book Evolutionary Computations written by Keigo Watanabe and published by Springer Science & Business Media. This book was released on 2004-03-05 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Computation, a broad field that includes Genetic Algorithms, Evolution Strategies, and Evolutionary Programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention fom scientists and engineers during the last decade. This monograph develops and analyzes evolutionary algorithms that can be successfully applied to real-world problems such as robotic control. Although of particular interest to robotic control engineers, "Evolutionary Computations" also may interest the large audience of researchers, engineers, designers and graduate students confronted with complicated optimization tasks.

Applications of Evolutionary Computation

Author : Giovanni Squillero
Publisher : Springer
ISBN 13 : 3319558498
Total Pages : 905 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Applications of Evolutionary Computation by : Giovanni Squillero

Download or read book Applications of Evolutionary Computation written by Giovanni Squillero and published by Springer. This book was released on 2017-04-03 with total page 905 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), 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), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Evolvability, Environments, Embodiment, & Emergence in Robotics

Author : John H. Long
Publisher : Frontiers Media SA
ISBN 13 : 2889456226
Total Pages : 109 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Evolvability, Environments, Embodiment, & Emergence in Robotics by : John H. Long

Download or read book Evolvability, Environments, Embodiment, & Emergence in Robotics written by John H. Long and published by Frontiers Media SA. This book was released on 2018-11-08 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embodied and evolving systems — biological or robotic — are interacting networks of structure, function, information, and behavior. Understanding these complex systems is the goal of the research presented in this book. We address different questions and hypotheses about four essential topics in complex systems: evolvability, environments, embodiment, and emergence. Using a variety of approaches, we provide different perspectives on an overarching, unifying question: How can embodied and evolutionary robotics illuminate (1) principles underlying biological evolving systems and (2) general analytical frameworks for studying embodied evolving systems? The answer — model biological processes to operate, develop, and evolve situated, embodied robots.