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Language: en
Pages: 527
Pages: 527
Type: BOOK - Published: 2017-03-17 - Publisher: MIT Press
An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems. Algorith
Language: en
Pages: 0
Pages: 0
Type: BOOK - Published: 2017-03-10 - Publisher: MIT Press
An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems. Algorith
Language: en
Pages: 314
Pages: 314
Type: BOOK - Published: 2020-08-18 - Publisher: MIT Press
In the tradition of Real World Algorithms: A Beginner's Guide, Panos Louridas is back to introduce algorithms in an accessible manner, utilizing various example
Language: en
Pages: 173
Pages: 173
Type: BOOK - Published: 2011-06-15 - Publisher: Springer Science & Business Media
This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, searc
Language: en
Pages: 470
Pages: 470
Type: BOOK - Published: 2011-11-13 - Publisher: Springer Science & Business Media
Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions
