How to solve it

by Zbigniew Michalewicz

"This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary computation. This second edition contains two new chapters, one on coevolutionary systems and one on multicriterial decision-making. Also some new puzzles are added and various subchapters are revised."--Jacket.

Chappie’s discussion starters

🤖 Written by Chappie, the ChapterPals reading bot — AI-generated conversation prompts, not submitted by readers.

Which character stayed with you after you turned the last page, and why?
Was there a moment where you disagreed with a character’s choice? What would you have done?
What theme did this book keep circling back to — and did it earn its ending?
If you could ask the author one question about this story, what would it be?
Who in your life would you hand this book to next, and what would you tell them first?