Learn IT - Books tags evolutionary

Advances in Evolutionary Algorithms: Theory, Design and Practice

Springer, 2006

The goal of this book is to develop efficient optimization algorithms to solve diverse real-world problems of graded difficulty. Genetic and evolutionary mechanisms have been deployed for reaching the goal.

This book has made five significant contributions in the realm of genetic and evolutionary computation (GEC).

Practical...

Genetic Fuzzy Systems

World Scientific Publishing, 2002

In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to...

Automatic Quantum Computer Programming: A Genetic Programming Approach

Springer, 2006

This is a book about the frontiers of computer science that have recently
been opened by work in quantum mechanics, but it is also a book
about the use of recently developed automatic programming technologies
to explore those frontiers. The automatic programming technologies
themselves issue from another interdisciplinary...

UML 2004 - The Unified Modeling Language: Modeling Languages and Applications. 7th International Conference

Springer, 2004

This book constitutes the refereed proceedings of the 7th International Conference on the Unified Modeling Language, UML 2004, held in Lisbon, Portugal, in October 2004.

The 30 revised full papers presented together with summaries on the workshops and tutorials were carefully reviewed and selected from 135 technical paper submissions....

Managing Corporate Information Systems Evolution and Maintenance

Idea Group Publishing, 2004

Managing Corporate Information Systems Evolution and Maintenance addresses the recent developments of systems maintenance research and practices ranging from technicality of systems evolution to managerial aspects of the topic. It includes very contemporary issues such as evolving legacy systems to e-business, applying patterns for reengineering...

Artificial Intelligence: A New Synthesis (The Morgan Kaufmann Series in Artificial Intelligence)

Morgan Kaufmann, 1998

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and...

Software Defined Radio: Enabling Technologies

John Wiley & Sons, 2002

Software defined radio (SDR) is one of the most important topics of research, and indeed development, in the area of mobile and personal communications. SDR is viewed as an enabler of global roaming and as a unique platform for the rapid introduction of new services into existing live networks. It therefore promises mobile communication networks a...

Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods

Springer, 2006

This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and...

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications

CRC Press, 1998

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for...

Neural Networks in a Softcomputing Framework

Springer, 2006

Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their...

Game Theory: Decisions, Interaction and Evolution (Springer Undergraduate Mathematics Series)

Springer, 2006

This book is an introduction to game theory from a mathematical perspective. It is intended to be a first course for undergraduate students of mathematics, but I also hope that it will contain something of interest to advanced students or researchers in biology and economics who often encounter the basics of game theory informally via relevant...

Meta-Learning in Computational Intelligence (Studies in Computational Intelligence)

Springer, 2011

In the early days of pattern recognition and statistical data analysis life was rather simple: datasets were relatively small, collected from well-designed experiments, analyzed using a few methods that had good theoretical background. Explosive growth of the use of computers led to the creation of huge amounts of data of all kinds,...

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