Hyper-Heuristics
Nelishia Pillay
Reading Time
at 250 WPM2h 27m
The average reader, reading at a speed of 250 WPM, would take 2h 27m to read Hyper-Heuristics.
Personalise your estimate by entering your reading speed below
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5
days at 30 min/day
147
total minutes
Hyper-Heuristics
Published
2018
Publisher
Springer
Pages
147
ISBN-13
9783319965147
ISBN-10
331996514X
Introduction to Linear Optimization
William Congreve
Mathematics for Machine Learning
Linear Algebra and Learning from Data
Recent Advances in Computational Optimization
Graphs, algorithms, and optimization
Frequently Asked Questions
How many pages are in Hyper-Heuristics?
This edition of Hyper-Heuristics has approximately 147 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 Hyper-Heuristics?
For most readers, Hyper-Heuristics typically takes between 3h 4m and 2h 3m to complete. This is based on the book's length of approximately 36,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 2h 27m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 5 days • Estimated word count: 36,750 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 Hyper-Heuristics?
The estimated word count for Hyper-Heuristics is approximately 36,750 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 Hyper-Heuristics?
Hyper-Heuristics was written by Nelishia Pillay, Rong Qu.
When was Hyper-Heuristics published?
The publication date for this specific edition is 2018. The original work may have been published on a different date.