This paper proposes a Genetic Programming based algorithm that can be used to design optimal controllers. The proposed algorithm will be named a Multiple Basis
Inferential models are widely used in the chemical industry to infer key process variables, which are challenging or expensive to measure, from other more easil
Estimation of distribution algorithms are a class of evolutionary optimization algorithms based on probability distribution model. In this article, a Pareto-bas
Control engineering had been the core of all engineering fields all the time. As the name depicts, control of different parameters of various industrial or comm
The objective of this paper is to design linear quadratic controllers for a system with an inverted pendulum on a mobile robot. To this goal, it has to be deter