An Optimization Procedure Based on Evolutionary Algorithms for A Microfluidics Problem

This paper proposes an optimization procedure based on two evolutionary algorithms: genetic algorithms and differential evolution. We apply these algorithms on a particular problem from the field of microfluidics in order to demonstrate how they can be used in design optimization. The improvement of the results, and also the simplicity and flexibility of the algorithms encourages us to suggest the use of these techniques in other problems from other areas in MEMS design.

Keywords: design optimization, genetic algorithms, differential evolution.