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The Application of Genetic Algorithms to Analytical Chemistry

Deng Bo, Liu Jia (Department of Chemistry, Tsinghua University, Beijing 100084)  
Genetic algorithms (GAs) are a new algorithms based on the simulation of principal principles, survival of the fittest, of evolution of living organisms in nature. In recent years, they have been intensively studied and applied in analytical chemistry, including optimization, calibration, structure interpretation etc. In the process of optimization, they do not need any priori knowledges about the interested systems. Genetic algorithms can effectively avoid local optimization and successfully reach the global optimization. The basic principle of GAs and their application in analytical chemistry and other areas were introduced in this paper.
【Fund】: 国家自然科学基金
【CateGory Index】: O651
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