Two novel extensions for the well known ant colony optimization (ACO) framework are
introduced here, which allow the solution of mixed integer nonlinear programs (MINLPs) …

In this paper we present a new evolutionary method for complex-process optimization. It is
partially based on the principles of the scatter search methodology, but it makes use of …

The successful handling of numerous real–world complex problems has increased the
popularity of nature–inspired intelligent (NII) algorithms and techniques. Their successful …

An enhanced scatter search method for the global dynamic optimization of nonlinear
processes using the control vector parametrization (CVP) approach is presented. Sharing …

Optimal design and control of industrially important chemical processes rely on dynamic
optimization. However, because of the highly constrained, nonlinear, and sometimes …

The optimal solution of the chemical dynamic optimization problem is the basis of automatic
control operation in the chemical process, which can reduce energy consumption, increase …

Mathematical models that represent food processing operations are characterized by the
nonlinearity of their dynamic behavior with possible discrete events, the existence of several …

In this work, a new approach for smooth control profiles parameterization (requiring a small
number of parameters) is presented and especially recommended for bioprocess …

Dynamic optimization problems in chemical engineering are often described by complex
differential equations, In general, Due to the complexity of the model established in practice …

The numerical solution of the dynamic optimization problem is often sought for chemical
processes, but the discretization of control variables is a difficult problem. Firstly, based on …