Iterative Optimizers

Difficulty Measures and Benchmarks

Nonfiction, Computers, Advanced Computing, Engineering, Computer Engineering
Cover of the book Iterative Optimizers by Maurice Clerc, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Maurice Clerc ISBN: 9781119612407
Publisher: Wiley Publication: April 10, 2019
Imprint: Wiley-ISTE Language: English
Author: Maurice Clerc
ISBN: 9781119612407
Publisher: Wiley
Publication: April 10, 2019
Imprint: Wiley-ISTE
Language: English

Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm’s performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life.

This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties.

The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm’s performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life.

This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties.

The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios.

More books from Wiley

Cover of the book Small Animal Emergency and Critical Care by Maurice Clerc
Cover of the book In Praise of Theatre by Maurice Clerc
Cover of the book Network Forensics by Maurice Clerc
Cover of the book Website Optimization by Maurice Clerc
Cover of the book Caliphs and Kings by Maurice Clerc
Cover of the book Managing to the New Regulatory Reality by Maurice Clerc
Cover of the book Home Accountz For Dummies by Maurice Clerc
Cover of the book Choice Not Chance by Maurice Clerc
Cover of the book Office 2013 Bible e-Book Library by Maurice Clerc
Cover of the book Urban Design in the Real Estate Development Process by Maurice Clerc
Cover of the book Metaheuristics for Big Data by Maurice Clerc
Cover of the book Bladder Cancer by Maurice Clerc
Cover of the book Simplified Robust Adaptive Detection and Beamforming for Wireless Communications by Maurice Clerc
Cover of the book Gen BuY by Maurice Clerc
Cover of the book Politics and Fate by Maurice Clerc
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy