A study on product optimization design based on genetic algorithms

Abstract

Genetic algorithms (GAs) can be viewed as random searching algorithm that based on the ideas of natural evolution. It is quite suitable for the complicated non-structural problems, for it has some properties such as self-adaptability, parallelity, evaluation-based, probability and multi-solution. Its principle is similar to human designers' behavior, a trial-and-error process guided by the evaluation regarding the goal: product optimization schemes. The paper analyzes the comparability between product optimization design and GAs, and proposes a technical method with its algorithm structures based on GAs. The codified representation, evaluation function and optimize searching of product design was basically realized based on GAs. © 2006 International Federation for Information Processing.