Evolutionary Algorithms
William M. Spears
Reading Time
at 250 WPM3h 42m
The average reader, reading at a speed of 250 WPM, would take 3h 42m to read Evolutionary Algorithms.
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8
days at 30 min/day
222
total minutes
Evolutionary Algorithms
Published
2000
Publisher
Springer Berlin Heidelberg
Pages
222
ISBN-13
9783642086243
ISBN-10
3642086241
Description
Despite decades of work in evolutionary algorithms, there remains a lot of uncertainty as to when it is beneficial or detrimental to use recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates prior theoretical work and introduces new theoretical techniques for studying evolutionary algorithms. An aggregation algorithm for Markov chains is introduced which is useful for studying not only evolutionary algorithms specifically, but also complex systems in general. Practical consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. A focus on discrete rather than real-valued representations allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.
Subjects
On the origin of species by means of natural selection
Principles of Anatomy and Physiology
De rerum natura
International Review of Cell and Molecular Biology
Le Deuxième Sexe
Physics
Frequently Asked Questions
How many pages are in Evolutionary Algorithms?
This edition of Evolutionary Algorithms has approximately 222 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 Evolutionary Algorithms?
For most readers, Evolutionary Algorithms typically takes between 4h 38m and 3h 5m to complete. This is based on the book's length of approximately 55,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 42m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 8 days • Estimated word count: 55,500 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 Evolutionary Algorithms?
The estimated word count for Evolutionary Algorithms is approximately 55,500 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 Evolutionary Algorithms?
Evolutionary Algorithms was written by William M. Spears.
When was Evolutionary Algorithms published?
The publication date for this specific edition is 2000. The original work may have been published on a different date.