Recent Advances in Simulated Evolution and Learning

Recent Advances in Simulated Evolution and Learning PDF Author: K. C. Tan
Publisher: World Scientific
ISBN: 9812389520
Category : Computers
Languages : en
Pages : 836

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Book Description
This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.

Recent Advances in Simulated Evolution and Learning

Recent Advances in Simulated Evolution and Learning PDF Author: K. C. Tan
Publisher: World Scientific
ISBN: 9812389520
Category : Computers
Languages : en
Pages : 836

Get Book Here

Book Description
This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.

Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author: Grant Dick
Publisher: Springer
ISBN: 3319135635
Category : Computers
Languages : en
Pages : 877

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Book Description
This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis.

Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author: Yuhui Shi
Publisher: Springer
ISBN: 331968759X
Category : Computers
Languages : en
Pages : 1048

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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.

Recent Advances in Simulated Evolution and Learning

Recent Advances in Simulated Evolution and Learning PDF Author: K. C. Tan
Publisher: World Scientific
ISBN: 981256179X
Category : Computers
Languages : en
Pages : 836

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Book Description
Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems. This book has been selected for coverage in: . OCo Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings). OCo CC Proceedings OCo Engineering & Physical Sciences. Sample Chapter(s). Chapter 1: Co-Evolutionary Learning in Strategic Environments (231 KB). Contents: Evolutionary Theory: Using Evolution to Learn User Preferences (S Ujjin & P J Bentley); Evolutionary Learning Strategies for Artificial Life Characters (M L Netto et al.); The Influence of Stochastic Quality Functions on Evolutionary Search (B Sendhoff et al.); A Real-Coded Cellular Genetic Algorithm Inspired by PredatorOCoPrey Interactions (X Li & S Sutherland); Automatic Modularization with Speciated Neural Network Ensemble (V R Khare & X Yao); Evolutionary Applications: Image Classification using Particle Swarm Optimization (M G Omran et al.); Evolution of Fuzzy Rule Based Controllers for Dynamic Environments (J Riley & V Ciesielski); A Genetic Algorithm for Joint Optimization of Spare Capacity and Delay in Self-Healing Network (S Kwong & H W Chong); Joint Attention in the Mimetic Context OCo What is a OC Mimetic SameOCO? (T Shiose et al.); Time Series Forecast with Elman Neural Networks and Genetic Algorithms (L X Xu et al.); and other articles. Readership: Upper level undergraduates, graduate students, academics, researchers and industrialists in artificial intelligence, evolutionary computation, fuzzy logic and neural networks."

Introduction to Evolutionary Computing

Introduction to Evolutionary Computing PDF Author: A.E. Eiben
Publisher: Springer
ISBN: 3662448742
Category : Computers
Languages : en
Pages : 294

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Book Description
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.

Recent Advances in Soft Computing and Cybernetics

Recent Advances in Soft Computing and Cybernetics PDF Author: Radek Matoušek
Publisher: Springer Nature
ISBN: 3030616592
Category : Technology & Engineering
Languages : en
Pages : 314

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Book Description
This monograph is intended for researchers and professionals in the fields of computer science and cybernetics. Nowadays, the areas of computer science and cybernetics (mainly its artificial intelligence branches) are subject to an immense degree of study and are applied in a wide range of technical and industrial projects. The individual chapters of this monograph were developed from a series of invited lectures at the Brno University of Technology in the years 2018 and 2019. The main aim of these lectures was to create an opportunity for students, academics, and professionals to exchange ideas, novel research methods, and new industrial applications in the fields related to soft computing and cybernetics. The authors of these chapters come from around the world and their works cover both new theoretical and application-oriented results from areas such as automation, control, robotics, optimization, statistics, reinforcement learning, image processing, and evolutionary algorithms.

New Achievements in Evolutionary Computation

New Achievements in Evolutionary Computation PDF Author: Peter Korosec
Publisher: BoD – Books on Demand
ISBN: 9533070536
Category : Computers
Languages : en
Pages : 330

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Book Description
Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.

Recent Advances in Swarm Intelligence and Evolutionary Computation

Recent Advances in Swarm Intelligence and Evolutionary Computation PDF Author: Xin-She Yang
Publisher: Springer
ISBN: 331913826X
Category : Technology & Engineering
Languages : en
Pages : 295

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Book Description
This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.

Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction

Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction PDF Author: Khosrow-Pour, D.B.A., Mehdi
Publisher: IGI Global
ISBN: 1522573690
Category : Computers
Languages : en
Pages : 1456

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Book Description
As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation.

Advances in Artificial Reality and Tele-Existence

Advances in Artificial Reality and Tele-Existence PDF Author: Ronghua Liang
Publisher: Springer Science & Business Media
ISBN: 3540497765
Category : Computers
Languages : en
Pages : 1367

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Book Description
This book constitutes the refereed proceedings of the 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, held in Hangzhou, China in November/December 2006. The 138 revised papers cover anthropomorphic intelligent robotics, artificial life, augmented reality, distributed and collaborative VR system, motion tracking, real time computer simulation virtual reality, as well as VR interaction and navigation techniques.