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Springer Genetic Algorithms + Data Structures Book

Amazon

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Description

Explore the principles of evolution and survival of the fittest with this Springer publication. This book focuses on evolution programming techniques derived from genetic algorithms to solve complex optimization problems. It covers essential topics including linear and nonlinear constraints, the traveling salesman problem, and applications in scheduling, partitioning, and control. As computer science moves toward parallelism, these techniques become increasingly relevant. This self-contained resource provides the necessary foundation for understanding how evolution programs function within parallel computing environments. It is a valuable addition to any collection focused on discrete mathematics and advanced computational logic.

Key Features

This Springer book covers genetic algorithms and evolution programming techniques for hard optimization problems.

Learn to apply evolutionary principles to the traveling salesman problem and complex scheduling tasks.

The text addresses optimization of functions with both linear and nonlinear constraints.

Understand the growing importance of parallel evolution programs in modern computer science.

Receive your order in new and mint condition with guaranteed professional packaging.

Orders received before 12 noon are dispatched the same day for fast delivery.

Enjoy peace of mind with our no quibbles returns policy on this mathematics title.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 March 1996
Listed Since
15 February 2007

Barcode

No barcode data available

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