The optimization of mixture ratio of model sand based on Simplex Particle Swarm Optimization Algorithm

Abstract

Model sand composed of several kinds of sand according to a certain proportion to meet required sand gradation is often needed in model test. In this paper, an optimization model of mixture ratio is built and mixture ratio of model sand is optimized by Simplex Particle Swarm Optimization Algorithm (SMPSO). The powerful global search ability of Particle Swarm Optimization Algorithm (PSO) and the well local search ability of Simplex method (SM) are combined in SMPSO. Example is presented to demonstrate that SMPSO has a better ability in searching the globally optimal solution than PSO. The optimization model and method of sand gradation introduced in this paper is not only an improvement on traditional experience method, but also a new method for other optimization problems, such as concrete aggregation gradation optimization.