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Genetic Algorithms and Investment Strategies

new computerized decision-making tools to their arsenal if they are to succeed. In Genetic Algorithms and Investment Strategies, he uniquely;

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Evolutionary Computation 1

paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, and genetic programming. It is intended to be used by;

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Evolutionary Computation 1

paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, and genetic programming. It is intended to be used by;

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Investment Strategies Optimization based on a SAX-GA Methodology

optimization kernel is used in order to identify the most relevant patterns and generate investment rules. The proposed approach considers several;

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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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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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Genetic Algorithms And Engineering Design

of selection strategies, penalty techniques, and genetic operators used for constrained and combinatorial optimization problems Shows how to use;

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Foundations of Genetic Algorithms 1991 (FOGA 1)

Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems;

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Cellular Genetic Algorithms

Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic;

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Electromagnetic Optimization By Genetic Algorithms

search procedures modeled on the Darwinian concepts of natural selection and evolution. The machinery of genetic algorithms utilizes an;

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Genetic Algorithms in Java Basics

Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions;

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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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Genetic Algorithms for Pattern Recognition

method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for;

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Genetic Algorithms for Pattern Recognition

method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for;

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Genetic Algorithms in Elixir

an in-depth look at the algorithms, techniques, and methods that go into writing a genetic algorithm. From introductory problems to real;

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Genetic Algorithms with Python

World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to;

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Obstacle Avoidance In Multi-robot Systems, Experiments In Parallel Genetic Algorithms

planning problem for robot manipulators. Simple and efficient solutions are proposed for the path planning problem based on genetic algorithms. One;

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Robo Wealth An Automatic Way To Invest S

, portfolio tilts, and modern portfolio theory. Investment strategies have evolved from one generation to the next, and the ability to leverage new;

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Hands-On Genetic Algorithms with Python

Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

based on analogies with nature such as genetic algorithms and evolution strategies. Part I describes the mathematical foundations of classical;

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Online Portfolio Selection

principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book;

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Practical Genetic Algorithms

This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and;

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Algorithms for Large Scale Linear Algebraic Systems:

presented. Some inverse problems are also included. Evolution based software is described, such as genetic algorithms and evolution strategies;

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Intro To Genetic Algorithms

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;

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An Introduction To Genetic Algorithms

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;

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Evolutionary Algorithms In Engineering And Computer Science

and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming and genetic;

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