User-Oriented Product Conceptual Design of Intelligent Instrument Based on Genetic Algorithm
Product conceptual design has been recognized as a critical decision. It aims at the selection of modules to offer near-optimal solutions of product design scheme and assist designers in product decision-making. It constitutes a combinatorial optimization problem. Conventional enumeration-based optimization techniques become inhibitive given that the number of possible combinations may be enormous. Genetic algorithms have been proven to excel in solving combinatorial optimization problems. This paper develops a genetic algorithm for solving the product conceptual design problem of intelligent instrument more effectively. A binary encoding scheme is presented to represent compositional model of modules. In order to avoid prematurity and convergence out of optimized point for genetic algorithm, a fitness normalization formula is introduced.
genetic algorithm product conceptual design intelligent instrument optimization search
Jian Pan Jinxiang Dong Zhongdong Huang Jian Pan
College of Computer Science, Zhejiang University Hangzhou, China College of Computer Science and Technology Zhejiang University of Technology Hangzhou, China
国际会议
太原
英文
578-581
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）