Search Results: 'Genetic Programming'

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49 results for "Genetic Programming"
A Field Guide to Genetic Programming By Riccardo Poli, William B Langdon, Nicholas F. McPhee
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Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas... More > from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP.< Less
A Field Guide to Genetic Programming By Riccardo Poli, William B Langdon, Nicholas Freitag McPhee
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(8 Ratings)
Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas... More > from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.< Less
A Field Guide to Genetic Programming By Riccardo Poli, William B Langdon, Nicholas Freitag McPhee
Paperback: $11.60
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(7 Ratings)
Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas... More > from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.< Less
Statistical Problems in Genetics and Molecular Biology By Norman Drinkwater, Carter Denniston
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This book evolved from the notes for a course of the same title that we’ve taught for the last eighteen years at the University of Wisconsin to graduate students in cancer biology, genetics,... More > molecular biology, and other biomedical programs. We concentrate on a class of statistical methods, so-called nonparametric statistics, which requires us to make very few assumptions regarding the model that gives rise to the data. These methods are also attractive because they are usually simple to apply and have considerable intuitive appeal.< Less
Practical Artificial Intelligence Programming With Java By Mark Watson
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(1 Ratings)
This book uses both best of breed open source software and the author's own libraries to introduce the reader to Artificial Intelligence (AI) technologies like genetic algorithms, neural networks,... More > expert systems, machine learning, and statistical natural language processing (NLP).< Less
Practical Artificial Intelligence Programming With Java By Mark Watson
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(1 Ratings)
This book uses both best of breed open source software and the author's own libraries to introduce the reader to Artificial Intelligence (AI) technologies like genetic algorithms, neural networks,... More > expert systems, machine learning, and statistical natural language processing (NLP).< Less
Genetics Scientists Uncover the Final End to All Diets!: Dr. Peter J. D'Adamo Discusses Eating Right for Your Type By Michael Senoff
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Thanks to a powerful new diet designed to work with your unique body chemistry. Dr. Peter J. D'Adamo, naturopathic physician and author of the best-selling diet book "Eat Right 4 Your... More > Type", has made his amazing diet program even better. His new book, "Change Your Genetic Destiny" builds on his original program by incorporating groundbreaking research from the field of genetics. In this audio interview, Dr. D'Adamo explains his remarkable new approach to achieving optimal health. Stop trying to follow the latest diet trends because they seem to be working for others. Dr. Peter J. D'Adamo has designed a scientifically based diet that’s designed to work for you because it addresses your body's unique needs. Listen in and you’ll learn the secrets to better health.< Less
Clever Algorithms: Nature-Inspired Programming Recipes By Jason Brownlee
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(3 Ratings)
This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete,... More > consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.< Less
Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment By Abhishek Bhattacharya, Tanusree Chatterjee
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In a distributed computing system (DCS), we need to allocate a number of tasks to different processors for execution. The problem of task assignment in heterogeneous computing systems has been... More > studied for many years with many variations and to accomplish various objectives, such as throughput maximization, reliability maximization, and cost minimization. There are also exists a set of system constraints related to memory and communication link capacity. Most of the existing approaches for task allocation deal with a single objective only. In this project we construct the task allocation problem as a multi-objective optimization problem to consider system constraints. The goal programming technique is used with pre-emptive priority structure to find the optimal allocation that not only optimize system reliability but also optimize memory as well as path load. The genetic algorithm is used to find the optimal allocations. Genetic algorithm is used to find the optimal allocations.< Less
Boise Buses trail the blaze runs on Compress Natural Gas CNG, HHS issues final rule on employment based wellness program, By Gloria Towolawi
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This week’s workplace news major headlines- From http://www.workplace-weekly.com Boise Buses runs on Compress Natural Gas CNG: An Example to Emulate, Final Rules On Employment-Based Wellness... More > Programs outlines Nondiscrimination Provisions And Rewards, Gov. Perry Signs $2 Billion Water Plan To Meet Texas Water Needs, Wal-Mart Resolves Dumping Charges to Pay Approx. $82 Million, API Poll Suggest Gas Export Will Create More U.S. Jobs, Mine Fatality Reports, Trotter Wellness® Launches Small Business Wellness Program, The Changing Role of HR in the World of SaaS: Perdue Partners with Berkshire Associates, Better Mileage Expense Reports with Google Maps integration, Genetic Information Nondiscrimination Act GINA and Employment: Know the Facts, Energy Savings Tips for Your Home, Drilling Procedure Best Practices< Less