- Добавил: literator
- Дата: 15-11-2020, 13:54
- Комментариев: 0

Автор: Modestus O. Okwu, Lagouge K. Tartibu
Издательство: Springer
Год: 2021
Страниц: 196
Язык: английский
Формат: pdf (true)
Размер: 17.2 Mb
This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others.