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Theory of Evolution Strategies by Hans-Georg Beyer

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Published by Springer .
Written in English


  • Algorithms & procedures,
  • Artificial intelligence,
  • Programming - General,
  • Evolutionary programming (Computer science),
  • Genetic Algorithms,
  • Optimization (Mathematical Theory),
  • Computers,
  • Computers - General Information,
  • Science/Mathematics,
  • Linear Programming,
  • General,
  • Artificial Intelligence - General,
  • Computers / Artificial Intelligence,
  • Computer algorithms,
  • Computer Science,
  • Evolutionary programming (Comp

Book details:

The Physical Object
Number of Pages380
ID Numbers
Open LibraryOL9063312M
ISBN 103540672974
ISBN 109783540672975

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The author makes use of differential geometry in the book to establish a theoretical framework to predict the local performance of evolution strategies. The hypersurface model is constructed as a fitness model for the calculation of progress measures, and for an elementary model of evolution by: Evolutionary Algorithms, in particular Evolution Strategies, Genetic Algorithms, or Evolutionary Programming, have found wide acceptance as robust optimization algorithms in the last ten years. Compared with the broad propagation and the resulting practical prosperity in different scientific fields, the theory has not progressed as : Springer-Verlag Berlin Heidelberg. This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution.   But evolution did not reach the status of being a scientific theory until Darwin’s grandson, the more famous Charles Darwin, published his famous book On the Origin of Species. Darwin and a scientific contemporary of his, Alfred Russel Wallace, proposed that evolution occurs because of a phenomenon called natural selection.

Evolutionary Game Theory From the book Networks, Crowds, and Markets: an organism’s genetically-determined characteristics and behaviors are like its strategy in a game, its fitness is like its payoff, and this payoffdepends on the strategies (characteristics) of to make predictions about the results of evolution on a population. 7. Evolutionary game theory (EGT) is the application of game theory to evolving populations in defines a framework of contests, strategies, and analytics into which Darwinian competition can be modelled. It originated in with John Maynard Smith and George R. Price's formalisation of contests, analysed as strategies, and the mathematical criteria that can be used to predict the. In ecology, r/K selection theory relates to the selection of combinations of traits in an organism that trade off between quantity and quality of offspring. The focus on either an increased quantity of offspring at the expense of individual parental investment of r-strategists, or on a reduced quantity of offspring with a corresponding increased parental investment of K-strategists, varies. STRATEGIC THEORY FOR THE 21st CENTURY: THE LITTLE BOOK ON BIG STRATEGY Harry R. Yarger February This publication is a work of the United States Government as defined in Ti United States Code, section As such, it is in the public domain, and under the provisions of Ti United States Code, Section , it may not be.

Your last book is Evolution: What the Fossils Say and Why It Matters by Donald Prothero. This is the wildcard on my list, the one book that evolution aficionados might not have heard of. It’s important because it is the one book that really lays out in great detail, for the non-specialist, some of the strongest evidence for evolution, which.   In the s, much of strategic management dealt with size, growth, and portfolio theory as it shifted away from planning toward a strategy to find ways to increase performance and profitability. Organisations began to favor the PIMS approach to finding the link between profitability and strategy. Based on new evidence and knowledge that functioning proteins are extremely rare, should Darwin’s theory of evolution be dismissed, dissected, developed, or replaced with a theory of intelligent. Evolutionary algorithms, such as evolution strategies, genetic algorithms, or evolutionary programming, have found broad acceptance in the last ten years. This monograph provides the framework and the first steps toward the theoretical analysis of Evolution Strategies (ES).