Kategoria BISAC: Computers >> Programming - Algorithms

This book constitutes the proceedings of the 4th International Workshop on Algorithms and Computation, held in Dhaka, Bangladesh, in February 2010.

The 23 revised full papers were carefully reviewed and selected from 60 submissions. The volume also contains4 invited papers.The topics covered are graph drawing, computational geometry, graph algorithms, computational biology and strings, combinatorial optimization, approximation algorithms, and parameterized complexity. "

• The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner.
• The book covers both algorithmic theory and programming practice, demonstrating how theory is...

Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the advent of multicore architectures. However, programming multicore machines is much more difficult due to oddities existing in the architectures.

Offering insights into different facets of this area, Multicore Computing:...

The contributions in this volume are written by the foremost international researchers and practitioners in the GP arena. They examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

Topics include: FINCH: A System for Evolving Java, Practical Autoconstructive Evolution, The Rubik Cube and GP Temporal Sequence Learning, Ensemble classifiers: AdaBoost and Orthogonal Evolution of Teams, Self-modifying...

Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. This class of genetic algorithms is shown to produce impressive results on a whole range of domains, including complex problems that are epistatic, multi-modal, deceptive, discrete, continuous, multi-objective, and random in nature. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and...