Natural phenomenon can be used to solve complex optimization problems with its excellent
facts, functions, and phenomenon. In this paper, a survey on physics‐based algorithm is …

A novel computer aided method is presented that yields Linear Time Invariant Reduced
Order System (LTI-ROS). This is accomplished by using the combined benefits of Big Bang …

A new method of model order reduction is introduced by combining the merits of big bang
big crunch (BBBC) optimization technique and stability equation (SE) method. A linear …

In this study, an inverse controller based on a type-2 fuzzy model control design strategy is
introduced and this main controller is embedded within an internal model control structure …

This study proposes methods to improve the convergence of the novel optimization method,
Big Bang–Big Crunch (BB–BC). Uniform population method has been used to generate …

The use of inverse system model as a controller might be an efficient way in controlling non-
linear systems. It is also a known fact that fuzzy logic modeling is a powerful tool in …

A train operation optimization by minimizing its traction energy subject to various constraints
is carried out using nature‐inspired evolutionary algorithms. The optimization process …

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a
comprehensive introduction to the methodologies and algorithms in nature-inspired …

In the recent years it has been demonstrated that type-2 fuzzy logic systems are more
effective in modeling and control of complex nonlinear systems compared to type-1 fuzzy …

Modeling of complex dynamic systems, which are very complicated to establish
mathematical models, requires new and modern methodologies that will exploit the existing …