This paper reviews the theory and applications of ant algorithms, new methods of discrete
optimization based on the simulation of self-organized colony of biologic ants. The colony …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

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) …

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 …

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 …

In many chemical engineering applications, one frequently encounters dynamic optimization
problems. The solution of these types of problems is usually very difficult due to their highly …

A novel framework has been proposed for optimizing batch cooling crystallization operation.
The optimization strategy is effective for highly non-linear and dynamic mathematical …

Abstract Crow Search Algorithm (CROW) is one of the members of recently developed
swarm-based metaheuristic algorithms. Literature includes different applications of this …

The switch point algorithm is a new approach for solving optimal control problems whose
solutions are either singular or bang-bang or both singular and bang-bang, and which …