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Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely...
How to Think About Algorithms
How to Think About Algorithms
There are many algorithm texts that provide lots of well-polished code and proofs of correctness. This book is not one of them. Instead, this book presents insights, notations, and analogies to help the novice describe and think about algorithms like an expert. By looking at both the big picture and easy step-by-step methods for developing...
Fundamentals of Semiconductor Physics and Devices
Fundamentals of Semiconductor Physics and Devices
People come to technical books with a vast array of daerent needs and requirements, arising from their differing educational backgrounds, professional orientations and career objectives. This is particularly evident in the field of semiconductors, which stands at the juncture of physics, chemistry, electronic engineering, material science and...
Solving Problems in Scientific Computing Using Maple and Matlab®
Solving Problems in Scientific Computing Using Maple and Matlab®
Modern computing tools like MAPLE (a symbolic computation package) and MATLAB® ( a numeric and symbolic computation and visualization program) make it possible to use the techniques of scientific computing to solve realistic nontrivial problems in a classroom setting. These problems have been traditionally...
Genetic Programming Theory and Practice IV (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice IV (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international...
Applying Computational Intelligence: How to Create Value
Applying Computational Intelligence: How to Create Value

The flow of academic ideas in the area of computational intelligence is impacting industrial practice at considerable speed. Practitioners face the challenge of tracking, understanding and applying the latest techniques, which often prove their value even before the underlying theories are fully understood. This book offers realistic guidelines...

Applied Interval Analysis
Applied Interval Analysis

This book is about guaranteed numerical methods based on interval analysis for approximating sets, and about the application of these methods to vast classes of engineering problems. Guaranteed means here that inner and outer approximations of the sets of interest are obtained, which can be made as precise as desired, at the cost of...

Genetic Programming Theory and Practice VIII (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice VIII (Genetic and Evolutionary Computation)
The work described in this book was first presented at the Eighth Workshop on Genetic Programming, Theory and Practice, organized by the Center for the Study of Complex Systems at the University of Michigan, Ann Arbor, May 20-22, 2010. The goal of this workshop series is to promote the exchange of research results and ideas...
The Exposome: A Primer
The Exposome: A Primer

The Exposome: A Primer is the first book dedicated to exposomics, detailing the purpose and scope of this emerging field of study, its practical applications and how it complements a broad range of disciplines. Genetic causes account for up to a third of all complex diseases. (As genomic approaches improve, this is likely to rise.)...

Linkage in Evolutionary Computation (Studies in Computational Intelligence)
Linkage in Evolutionary Computation (Studies in Computational Intelligence)
In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based...
Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms
Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms

Randomization has become a standard approach in algorithm design. Efficiency and simplicity are the main features of randomized algorithms that often made randomization a miraculous springboard for solving complex problems in various applications. Especially in the areas of communication, cryptography, data management, and discrete...

Information Assurance and Security Ethics in Complex Systems: Interdisciplinary Perspectives
Information Assurance and Security Ethics in Complex Systems: Interdisciplinary Perspectives

Often computers are viewed as machines that run algorithms. This view of computers covers a vast range of devices, from simple computers that perform limited and specific computations (for example, a computer found in a wristwatch) to supercomputers, which are groups of computers linked together in homogeneous and heterogeneous clusters and...

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