Introduction to genetic algorithms
S. N. Sivanandam
Reading Time
at 250 WPM7h 44m
The average reader, reading at a speed of 250 WPM, would take 7h 44m to read Introduction to genetic algorithms.
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16
days at 30 min/day
464
total minutes
Introduction to genetic algorithms
Published
2010
Publisher
Springer Berlin / Heidelberg
Pages
464
ISBN-13
9783642092244
Description
"This book is designed to provide an in-depth knowledge on the basic operational features and characteristics of Genetic Algorithms. The various operators and techniques given in the book are pertinent to carry out Genetic Algorithm Research Projects. The book also explores the different types are Genetic Algorithms available with their importance. Implementation of Genetic Algorithm concept has been performed using the universal language C/C++ and the discussion also extends to Genetic Algorithm MATLAB Toolbox. Few Genetic Algorithm problems are programmed using MATLAB and the simulated results are given for the ready reference of the reader. The applications of Genetic Algorithms in Machine learning, Mechanical Engineering, Electrical Engineering, Civil Engineering, Data Mining, Image Processing, and VLSI are dealt to make the readers understand where the concept can be applied."--Jacket.
Prey
Genetic and Evolutionary Computing
The Practical Handbook of Genetic Algorithms
Algorithms in bioinformatics
Practical genetic algorithms
Genetic algorithms + data structures = evolution programs
Frequently Asked Questions
How many pages are in Introduction to genetic algorithms?
This edition of Introduction to genetic algorithms has approximately 464 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Introduction to genetic algorithms?
For most readers, Introduction to genetic algorithms typically takes between 9h 40m and 6h 27m to complete. This is based on the book's length of approximately 116,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 7h 44m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 16 days • Estimated word count: 116,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Introduction to genetic algorithms?
The estimated word count for Introduction to genetic algorithms is approximately 116,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Introduction to genetic algorithms?
Introduction to genetic algorithms was written by S. N. Sivanandam.
When was Introduction to genetic algorithms published?
The publication date for this specific edition is 2010. The original work may have been published on a different date.