Chapter 20Nature inspired computing for optimization
Ashima Kalra and Gaurav Tewari
20.1 Introduction
In order to solve difficult or time-sensitive problems, optimization is the process of determining the best possible solution. These optimization algorithms can be stochastic or deterministic in nature. Different types of approaches are used for optimization, but nature is the best way to solve optimization problems as the mapping between the nature and the engineering problems is readily possible, because these nature-inspired algorithms mimic the behavior of nature in technology and therefore prove much better than the traditional or other approaches for solving complex tasks.
Nature is a marvelous teacher, ...
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