Nature-inspired Optimization Algorithms and Soft Computing
Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation
Rajeev Arya
The Institution of Engineering and Technology, 2023
We have witnessed an explosion of research activity around nature-inspired computing and bio-inspired optimization techniques, which can provide powerful tools for solving learning problems and data analysis in very large data sets. To design and implement optimization algorithms, several methods are used that bring superior performance. However, in some applications, the search space increases exponentially with the problem size. To overcome these limitations and to solve efficiently large scale combinatorial and highly nonlinear optimization problems, more flexible and adaptable algorithms are necessary.
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