
Автор: Anuj Kumar, Sangeeta Pant, Mangey Ram
Издательство: De Gruyter
Год: 2022
Страниц: 204
Язык: английский
Формат: pdf (true), epub
Размер: 14.1 MB
This book is motivated by the fact that meta-heuristic optimization techniques have become very popular among researchers and engineers over the last two decades. The widespread applicability of various optimization methods makes them a hot spot for researchers. A few years back one even can’t think that school of fish, genes, nature of bat or ant can be used to design optimization algorithms, but nature has the solution of every problem. Nature-inspired optimization algorithms usually attempt to find a good approximation to the solution of complex optimization problems of various fields of sciences, engineering, and industries. It is applicable in almost all spheres of human life for the purpose of optimization of various parameters. Whereas a heuristic algorithm discovers the optimal solution in the search space of an optimization problem by “trial and error” with a weak guarantee of success, a metaheuristic algorithm performs better than that.