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Genetic and Evolutionary Methods

Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '14, an international conference that;

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Evolutionary Programming IV

methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics;

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Molecular Methods for Evolutionary Genetics

of genetic variation within and between species. Molecular Methods for Evolutionary Genetics is a collection of advanced molecular biology protocols;

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Exploring Critical Approaches of Evolutionary Computation

, evolutionary programming, genetic programming, and related fields such as swarm intelligence and other evolutionary computation techniques;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

genetic algorithms and evolution strategies, and for those who want to learn more about classical and evolutionary optimization methods and their;

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Evolutionary Conservation Genetics

and incorporate our knowledge of evolutionary processes and the distribution of genetic diversity into effective conservation planning and;

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Mobile Genetic Elements

genetic change and diversity, and the evolutionary impact of mobile DNA on the biology and evolution of organism. In, Mobile Genetic Elements;

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Intro To Genetic Algorithms

include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the;

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An Introduction To Genetic Algorithms

science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring;

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Culture and the Evolutionary Process

explore how genetic and cultural factors interact, under the influence of evolutionary forces, to produce the diversity we see in human cultures;

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Proceedings of the First International Conference on Genetic Algorithms and their Applications

, called Genetic Algorithms. Genetic algorithms are evolutionary search techniques based on principles derived from natural population genetics;

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Elements of Evolutionary Genetics

is intended for advanced level undergraduate courses in genetics and evolutionary biology, graduate students in evolutionary biology and human;

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Human Evolutionary Trees

populations may be made from genetic data of modern populations. The pattern of genetic differentiation between human populations reflects and;

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Essentials of Scientific Method

of science with regards to Psychology. It contains chapters on various scientific methods such as the Evolutionary or Genetic Method, the Method;

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Essentials of Scientific Method

of science with regards to Psychology. It contains chapters on various scientific methods such as the Evolutionary or Genetic Method, the Method;

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Computational Biology

genetic algorithms, the research of this field can be applied to computational biology. While evolutionary computation is not inherently a part;

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Rapidly Evolving Genes and Genetic Systems

Ever since the pioneering work of Darwin and Wallace, evolutionary biologists have attempted to understand the evolutionary dynamics;

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Evolutionary Genetics

, is studied under evolutionary genetics. Such changes occur within and between populations. This area of genetic study is under the domain;

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Evolutionary Genetics

components of modern evolutionary genetics, carefully explaining fundamental processes such as mutation, natural selection, genetic drift, and;

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Evolutionary Approach to Machine Learning and Deep Neural Networks

This book provides theoretical and practical knowledge about a methodology for evolutionary algorithm-based search strategy with the;

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Evolutionary Approach to Machine Learning and Deep Neural Networks

This book provides theoretical and practical knowledge about a methodology for evolutionary algorithm-based search strategy with the;

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Classification Analysis of DNA Microarrays

approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, and swarm intelligence;

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Genetic Management of Fragmented Animal and Plant Populations

One of the greatest unmet challenges in conservation biology is the genetic management of fragmented populations of threatened animal and;

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Evolutionary Genomics

getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a;

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Evolutionary Genomics

getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure;

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Evolutionary Algorithms

and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve;

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Systems Evolutionary Biology

Synthetic Biology discusses the evolutionary game theory and strategies of nonlinear stochastic biological networks under random genetic variations;

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