In this paper a novel evolutionary algorithm, suitable for continuous nonlinear optimization
problems, is introduced. This optimization algorithm is inspired by the life of a bird family …

The continuous and discrete time Linear Quadratic Regulator (LQR) theory has been used
in this paper for the design of optimal analog and discrete PID controllers respectively. The …

This paper presents a hybrid control strategy, combining Radial Basis Function (RBF)
network with conventional proportional, integral, and derivative (PID) controllers, for the …

This paper investigates the issue of tuning the Proportional Integral and Derivative (PID)
controller parameters for a greenhouse climate control system using an Evolutionary …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Abstract In Dynamic Matrix Control (DMC) algorithm, the control signal is computed optimally
based on the process model. In effect, the DMC algorithm allows for obtaining a better …

The scheduling of activities to transport oil derivative products through a pipe network is a
complex combinatorial problem that presents a hard computational solution. During the …

The traditional tuning scheme of proportional, integral, and derivative (PID) controller
parameters usually lay more emphasis on control performances than economic profits. As a …

In a commercial greenhouse, variables, such as temperature and humidity, should be
controlled with minimal human intervention. A systematically designed climate control …

Recent advances in Meta-learning for Black-Box Optimization (MetaBBO) have shown the
potential of using neural networks to dynamically configure evolutionary algorithms (EAs) …