Contemporary Evolution Strategies
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Contemporary Evolution Strategies
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Author : Thomas Bäck
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-02
Contemporary Evolution Strategies written by Thomas Bäck and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-02 with Computers categories.
This book surveys key algorithm developments between 1990 and 2012, with brief descriptions, a unified pseudocode for each algorithm and downloadable program code. Provides a taxonomy to clarify similarities and differences as well as historical relationships.
Contemporary Evolution Strategies
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Author : Hans-Paul Schwefel
language : en
Publisher:
Release Date : 1995
Contemporary Evolution Strategies written by Hans-Paul Schwefel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
The Theory Of Evolution Strategies
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Author : Hans-Georg Beyer
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
The Theory Of Evolution Strategies written by Hans-Georg Beyer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.
Evolutionary algorithms, such as evolution strategies, genetic algorithms, or evolutionary programming, have found broad acceptance in the last ten years. In contrast to its broad propagation, theoretical analysis in this subject has not progressed as much. This monograph provides the framework and the first steps toward the theoretical analysis of Evolution Strategies (ES). The main emphasis is deriving a qualitative understanding of why and how these ES algorithms work.
Evolutionary Algorithms In Engineering And Computer Science
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Author : K. Miettinen
language : en
Publisher: John Wiley & Sons
Release Date : 1999-07-09
Evolutionary Algorithms In Engineering And Computer Science written by K. Miettinen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-07-09 with Computers categories.
Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyväskylä, Finland M. M. Mäkelä, University of Jyväskylä, Finland P. Neittaanmäki, University of Jyväskylä, Finland J. Périaux, Dassault Aviation, France What is Evolutionary Computing? Based on the genetic message encoded in DNA, and digitalized algorithms inspired by the Darwinian framework of evolution by natural selection, Evolutionary Computing is one of the most important information technologies of our times. Evolutionary algorithms encompass all adaptive and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming and genetic programming. In addition, they work well in the search for global solutions to optimization problems, allowing the production of optimization software that is robust and easy to implement. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques. This book presents state-of-the-art lectures delivered by international academic and industrial experts in the field of evolutionary computing. It bridges artificial intelligence and scientific computing with a particular emphasis on real-life problems encountered in application-oriented sectors, such as aerospace, electronics, telecommunications, energy and economics. This rapidly growing field, with its deep understanding and assesssment of complex problems in current practice, provides an effective, modern engineering tool. This book will therefore be of significant interest and value to all postgraduates, research scientists and practitioners facing complex optimization problems.
The Evolutionary Strategies That Shape Ecosystems
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Author : J. Philip Grime
language : en
Publisher: John Wiley & Sons
Release Date : 2012-03-26
The Evolutionary Strategies That Shape Ecosystems written by J. Philip Grime and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-26 with Science categories.
THE EVOLUTIONARY STRATEGIES THAT SHAPE ECOSYSTEMS In 1837 a young Charles Darwin took his notebook, wrote “I think”, and then sketched a rudimentary, stick-like tree. Each branch of Darwin’s tree of life told a story of survival and adaptation – adaptation of animals and plants not just to the environment but also to life with other living things. However, more than 150 years since Darwin published his singular idea of natural selection, the science of ecology has yet to account for how contrasting evolutionary outcomes affect the ability of organisms to coexist in communities and to regulate ecosystem functioning. In this book Philip Grime and Simon Pierce explain how evidence from across the world is revealing that, beneath the wealth of apparently limitless and bewildering variation in detailed structure and functioning, the essential biology of all organisms is subject to the same set of basic interacting constraints on life-history and physiology. The inescapable resulting predicament during the evolution of every species is that, according to habitat, each must adopt a predictable compromise with regard to how they use the resources at their disposal in order to survive. The compromise involves the investment of resources in either the effort to acquire more resources, the tolerance of factors that reduce metabolic performance, or reproduction. This three-way trade-off is the irreducible core of the universal adaptive strategy theory which Grime and Pierce use to investigate how two environmental filters selecting, respectively, for convergence and divergence in organism function determine the identity of organisms in communities, and ultimately how different evolutionary strategies affect the functioning of ecosystems. This book refl ects an historic phase in which evolutionary processes are finally moving centre stage in the effort to unify ecological theory, and animal, plant and microbial ecology have begun to find a common theoretical framework. Companion website This book has a companion website www.wiley.com/go/grime/evolutionarystrategies with Figures and Tables from the book for downloading.
Evolutionary Algorithms For Solving Multi Objective Problems
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Author : Carlos Coello Coello
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-26
Evolutionary Algorithms For Solving Multi Objective Problems written by Carlos Coello Coello and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-26 with Computers categories.
This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.
Evolutionary Statistical Procedures
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Author : Roberto Baragona
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-03
Evolutionary Statistical Procedures written by Roberto Baragona and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-03 with Computers categories.
This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work for statistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer science.
Experimental Research In Evolutionary Computation
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Author : Thomas Bartz-Beielstein
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-09
Experimental Research In Evolutionary Computation written by Thomas Bartz-Beielstein and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-09 with Computers categories.
This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples.
Organizational Evolution And Strategic Management
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Author : Rodolphe Durand
language : en
Publisher: SAGE
Release Date : 2006-04-25
Organizational Evolution And Strategic Management written by Rodolphe Durand and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-25 with Business & Economics categories.
`I have no doubt this book will be read and used time and again by any scholar working within the evolutionary approach to organizations. I believe that it will also be of great interest to strategy scholars′ - Management `Rodolphe Durand has a compelling message for the growing community of evolutionary researchers in organization studies. Evolutionary researchers need to attend more carefully to historical and contemporary debates in the biological sciences if they are to avoid false tracks and simplisitic analogies. Durand offers here the foundations of a distinctive and authentic evolutionary theory that takes organizations seriously for what they are′ - Richard Whittington, Oxford University `This book fills an important gap in the study of organizations and strategy from an evolutionary perspective. It offers a synthetic approach to evolutionary analysis with grounded empirical examples that graduate students and seasoned scholars alike will find immensely useful. Durand′s OES model, rooted in a critical examination of philosophical and scientific writings on evolution, is particularly promising and provides a valuable guidepost for future research on organizations and strategic management′ - Michael Lounsbury, University of Alberta How is economic evolutionary theory, in which organisations evolve according to environmental selection, reconciled with evidence of strategic management? This book is the first of its kind to propose a solution to this theoretical puzzle and engage readers in a balanced understanding of organizational evolution. Rodolphe Durand embarks upon a fresh assessment of the literature. His discoveries provide the foundation for a new theory of organizational selection and an organizational evolution and strategy model that reconciles economic evolution with strategic intentionality. Chapters include an examination of the work by Lamarck, Darwin and Spencer; a constructive appraisal of evolutionary theory applied to organisations and a summary of how the organizational evolution and strategy model will affect future theory and research.
Evaluation Of Active Set Evolution Strategies For Optimization With Known Constraints
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Author : Zehao Ba
language : en
Publisher:
Release Date : 2020
Evaluation Of Active Set Evolution Strategies For Optimization With Known Constraints written by Zehao Ba and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Evolution strategy (ES) is most often used to solve unconstrained black-box problems, while active-set methods focus on solving constrained optimization problems. A recent algorithm combines (1+1)-ES and an active-set method to get an active-set evolution strategy to solve problems in which the objective function is considered a black-box, but the constraint functions are known explicitly. We observe that the previous active-set evolution strategies have some settings result in less than optimal performance, so we make some adjustments to the past algorithms. More importantly, we systematically evaluate the performances of the two previous active-set evolution strategies with our modified version on the spherically symmetric functions with mutually orthogonal linear constraints. We also compare the performances of the modified version with three deterministic algorithms and an evolutionary algorithm. The test set we use is from the IEEE Congress on Evolutionary Computation (CEC) Competitions in 2006.