Clever algorithms
by Jason Brownlee · first published 2011
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2011–2025first – last mentioned
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Implementing an Artificial Intelligence algorithm is difficult. Algorithm descriptions may be incomplete, inconsistent, and distributed across a number of papers, chapters and even websites. This can result in varied interpretations of algorithms, undue attrition of algorithms, and ultimately bad science. This book is an effort to address these issues by providing a handbook of algorithmic recipes drawn from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence, described in a complete, consistent, and centralized manner. These standardized descriptions
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…optimization resources (for metaheuristics, where you only have the objective/score function and no derivative): - "Essentials of Metaheuristics" by Sean Luke https://cs.gmu.edu/~sean/book/metaheuristics/ - "Clever Algorithms" by Jason Brownlee https://cleveralgorithms.com/ Timefold uses the metaheuristic algorithms in these books (Tabu Search, Late Acceptance, Simulated Annealing, etc.) to find near-optimal solutions quickly…
on “Algorithms for Optimization [pdf]” ↗Here's my list: Structure & Interpretation of Computer Programs (Abelman, Sussman - Lisp oriented, classic) Algorithms in a Nutshell (OReilly) Clever Algorithms (Jason Brownlee. Uses Ruby for examples) Data Mining Analysis - Fundamental Algorithms (Mo. Zaki - ebook) Python for Data Analysis (Wes McKinney) Mining of Massive Datasets (Rajaraman, Leskovec, Ullman…
on “Good ebook for learning data structures & algorithm” ↗Wow, happy to see this posted here again. Just found out that the book is finally available on Amazon (yay!) http://www.amazon.com/Clever-Algorithms-Nature-Inspired-Prog... Happy to answer any questions about the book/content.
on “Clever algorithms in Ruby” ↗http://www.amazon.com/Clever-Algorithms-Nature-Inspired-Prog...
on “Nature-Inspired Programming Recipes (2011)” ↗