Learn IT - Books tags genetic

Exploitation of Linkage Learning in Evolutionary Algorithms (Adaptation, Learning, and Optimization)

Springer, 2010

One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage...

High Tech/High Touch: Technology and Our Search for Meaning

Nicholas Brealey Publishing, 2001

The one great megatrend of the new millennium. In this important and timely book encompassing the key trends of our time, John Naisbitt, the world's foremost social forecaster and bestselling author, takes us on a compelling and kaleidoscopic tour of our contemporary 'technology immersion' and our accelerated search for meaning. High...

Problems & Solutions In Scientific Computing With C++ And Java Simulations

World Scientific Publishing, 2004

Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. This timely book provides the various skills and techniques needed in scientific computing. The topics range in difficulty from elementary to advanced, and all the latest fields in...

Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)

CRC Press, 2010

Based on the author’s introductory course at the University of Oregon, Explorations in Computing: An Introduction to Computer Science focuses on the fundamental idea of computation and offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an...

Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy

Apress, 2018

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will...

Introduction to Evolutionary Algorithms (Decision Engineering)

Springer, 2010

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms....

Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms (Studies in Computational Intelligence)

Springer, 2013

Intelligent Control considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type...

Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms (Springer Series in Advanced Manufacturing)

Springer, 2005

Efficient assembly line design is a problem of considerable industrial importance. Assembly Line Design will be bought by technical personnel working in design, planning and production departments in industry as well as managers in industry who want to learn more about concurrent engineering. This book will also be purchased...

Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science)

Springer, 2005

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order...

Introduction to Evolutionary Computing (Natural Computing Series)

Springer, 2008

The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to...

The Nature of Code: Simulating Natural Systems with Processing

The Nature of Code, 2012

How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary...

New Trends in Applied Artificial Intelligence: 20th International Conference on Industrial, Engineering, and Other Applications of Applied ... (Lecture Notes in Computer Science)

Springer, 2007

Applied artificial intelligence researchers have been focusing on developing and employing methods and systems to solve real-life problems in all areas including engineering, science, industry, automation & robotics, business & finance, cyberspace, and man–machine interactions. The 20th International...

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