Optimization of a Kraft Pulping System: Using Particle Swarm Optimization and Differential Evolution

Abstract

Expectation of profit is the economic driving force motivating business activity in a free-enterprise economy. An increase in this profit for a given organization can be accomplished by discovering and following any of a number of courses of improved action. This paper presents an economic optimization of a hypothetical but realistic Kraft pulping system, which forms an integral part of a Pulp and Paper industry, using Particle Swarm Optimization (PSO) and Differential Evolution (DE). Simulation results obtained are comparable (and are slightly better) with the given results which show that these algorithms are quite competent for solving large scale industrial optimization problems in a very small time.