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The early years of the child’s life are extremely important. The child is growing and developing. As a caregiver, you can help the child grow and develop to the fullest. This 24-page publication is full of activities to help you do just that.

This book is for anyone who wants to create efficient code. Hacker's Delight will help you learn to program at a higher level – well beyond what is generally taught in schools and training courses – and will advance you substantially further than is possible through ordinary self-study alone.

Pro DNS and BIND guides readers through the often challenging array of features surrounding DNS with a special focus on the World’s most diffuse DNS implementation, BIND (Berkeley Internet Name Domain). Readers will learn not only about key DNS concepts, but also how to effectively install, configure, deploy and manage BIND in enterprise environments.


About the Author
Ronald Aitchison is the founder of Zytrax, Inc., a company that specializes in the design, development, and marketing of IP network solutions and services.

For both men and women, the oral pleasuring techniques such as: Just smother your lover in chocolate syrup and enter the realm of the senses. Both color and B/W images from various artists like Picasso and Betty Dodson show the delights of the tongue, lips, teeth, and breath.

“This volume expands upon the basic ideas underlying evolutionary algorithms. The focus is on fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation and implementation of evolutionary algorithms. It is intended to be used by individual researchers and by teachers and students in the expanding field of evolutionary computation”.

“The field of evolutionary computation is expanding dramatically, fueled by vast investment reflecting the value of applications of its techniques.The number of courses offered in evolutionary computing is growing rapidly: reflecting demand for material published in Handbook of Evolutionary Computation to be published in units suitable for use by students and teachers as well as individual researchers, we are publishing two volumes on algorithms and operators. The books contain material which has been brought right up to date, as well as some new contributions.This volume discusses the basic ideas which underlie the main paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, genetic programming. It is intended to be used by individual researchers and by teachers and students in the expanding field of evolutionary computation”.

“This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a unified framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms, showing how mutation seems to be much more important for the performance of genetic algorithms than usually assumed. The interaction of selection and mutation, and the impact of the binary code are further topics of interest. Some of the theoretical results are also confirmed by performing an experiment in meta-evolution on a parallel computer. The meta-algorithm used in this experiment combines components from evolution strategies and genetic algorithms to yield a hybrid capable of handling mixed integer optimization problems. As a detailed description of the algorithms, with practical guidelines for usage and implementation, this work will interest a wide range of researchers in computer science and engineering disciplines, as well as graduate students in these fields”.

Genetic Algorithms + Data Structures = Evolution Programs
Michalewicz, Zbigniew | ISBN: 3-540-60676-9
“Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.
The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation”.