Recent Advances In Simulated Evolution And Learning
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Recent Advances In Simulated Evolution And Learning
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Author : Kay Chen Tan
language : en
Publisher: World Scientific
Release Date : 2004-08-26
Recent Advances In Simulated Evolution And Learning written by Kay Chen Tan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-26 with Computers categories.
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:• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences
Simulated Evolution And Learning
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Author : Grant Dick
language : en
Publisher: Springer
Release Date : 2014-11-11
Simulated Evolution And Learning written by Grant Dick and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Computers categories.
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
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Author : Yuhui Shi
language : en
Publisher: Springer
Release Date : 2017-11-01
Simulated Evolution And Learning written by Yuhui Shi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-01 with Computers categories.
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.
Simulated Evolution And Learning
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Author : Lam Thu Bui
language : en
Publisher: Springer
Release Date : 2012-12-02
Simulated Evolution And Learning written by Lam Thu Bui and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Computers categories.
This volume constitutes the proceedings of the 9th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Hanoi, Vietnam, in December 2012. The 50 full papers presented were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on evolutionary algorithms, theoretical developments, swarm intelligence, data mining, learning methodologies, and real-world applications.
Recent Advances In Artificial Life
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Author : Hussein A Abbass
language : en
Publisher: World Scientific
Release Date : 2005-11-04
Recent Advances In Artificial Life written by Hussein A Abbass and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-04 with Science categories.
Artificial life is now a recognized discipline of research with many important applications and software tools. However, many theoretical issues remain unresolved. This book brings together a cross-section of key developments in artificial life, which in turn gives us new insight into the theory of complex systems.The central ideas of the book surround genetics and evolution in an artificial life framework. Topics covered include maintenance of genetic diversity, hierarchical structures and stability of ecosystems. Underpinning these topics are key theoretical developments surrounding network complexity, the development of pattern languages for complex networks and a deeper understanding of the edge of chaos where complex systems live. Practical applications include optimization, gene regulatory networks, modeling the spread of disease and the evolution of ageing.The reader will gain an insight into the mathematical techniques at the core of artificial life and encounter a sufficient diversity of applications to stimulate new directions in their own field.
Policy Implications Of Recent Advances In Evolutionary And Institutional Economics
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Author : Claudius Grabner
language : en
Publisher: Routledge
Release Date : 2016-05-12
Policy Implications Of Recent Advances In Evolutionary And Institutional Economics written by Claudius Grabner and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-12 with Business & Economics categories.
This collection is inspired by the coming retirement of Professor Wolfram Elsner. It presents cutting-edge economic research relevant to economic policies and policy-making, placing a strong focus on innovative perspectives. In a changing world that has been shaken by economic, social, financial, and ecological crises, it becomes increasingly clear that new approaches to economics are needed for both theoretical and empirical research; for applied economics as well as policy advice. At this point, it seems necessary to develop new methods, to reconsider theoretical foundations and especially to take into account the theoretical alternatives that have been advocated within the field of economics for many years. This collection seeks to accomplish this by including institutionalist, evolutionary, complexity, and other innovative perspectives. It thereby creates a unique selection of methodological and empirical approaches ranging from game theory to economic dynamics to empirical and historical-theoretical analyses. The interested reader will find careful reconsiderations of the historical development of institutional and evolutionary theories, enlightening theoretical contributions, interdisciplinary ideas, as well as insightful applications. The collection serves to highlight the common ground and the synergies between the various approaches and thereby to contribute to an emerging coherent framework of alternative theories in economics. This book is of interest to those who study political economy, economic theory and philosophy, as well as economic policy.
Evolutionary Algorithms In Intelligent Systems
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Author : Alfredo Milani
language : en
Publisher: MDPI
Release Date : 2020-12-07
Evolutionary Algorithms In Intelligent Systems written by Alfredo Milani and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-07 with Technology & Engineering categories.
Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.
Smart Computer Vision
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Author : B. Vinoth Kumar
language : en
Publisher: Springer Nature
Release Date : 2023-02-27
Smart Computer Vision written by B. Vinoth Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-27 with Technology & Engineering categories.
This book addresses and disseminates research and development in the applications of intelligent techniques for computer vision, the field that works on enabling computers to see, identify, and process images in the same way that human vision does, and then providing appropriate output. The book provides contributions which include theory, case studies, and intelligent techniques pertaining to computer vision applications. The book helps readers grasp the essence of the recent advances in this complex field. The audience includes researchers, professionals, practitioners, and students from academia and industry who work in this interdisciplinary field. The authors aim to inspire future research both from theoretical and practical viewpoints to spur further advances in the field.
Recent Advances In Optimal Structural Design
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Author : Scott A. Burns
language : en
Publisher: ASCE Publications
Release Date : 2002-01-01
Recent Advances In Optimal Structural Design written by Scott A. Burns and has been published by ASCE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-01 with Technology & Engineering categories.
Sponsored by the Technical Committee on Structural Design of the Technical Administrative Committee on Analysis and Computation of the Technical Activities Division of the Structural Engineering Institute of ASCE. This report documents the dramatic new developments in the field of structural optimization over the last two decades. Changes in both computational techniques and applications can be seen by developments in computational methods and solution algorithms, the role of optimization during the various stages of structural design, and the stochastic nature of design in relation to structural optimization. Topics include: Ømethods for discrete variable structural optimization; Ødecomposition methods in structural optimization; Østate of the art on the use of genetic algorithms in design of steel structures; Øconceptual design optimization of engineering structures; Øtopology and geometry optimization of trusses and frames; Øevolutionary structural optimization; Ødesign and optimization of semi-rigid framed structures; Øoptimized performance-based design for buildings; Ømulti-objective optimum design of seismic-resistant structures; and Øreliability- and cost-oriented optimal bridge maintenance planning. The book concludes with an extensive bibliography of journal papers on structural optimization published between 1987 and 1999.
Simulation Modeling Recent Advances New Perspectives And Applications
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Author : Abdo Abou Jaoudé
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-09-11
Simulation Modeling Recent Advances New Perspectives And Applications written by Abdo Abou Jaoudé and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Computers categories.
A simulation is the imitation of the operation of a real-world process or system over time. Simulations require the use of models in which a model represents the key characteristics or behaviors of the selected system or process and the simulation represents the evolution of the model over time. Computers are often used to execute simulations. This book provides a comprehensive overview of simulation modeling and explores its use to solve a large set of problems. It is a useful resource for scholars, researchers, and undergraduate and graduate students in pure and applied mathematics, physical sciences, engineering and technology, computer science, numerical analysis, scientific computing, and science in general.