遺傳算法（Genetic Algorithms，GAs）是進化計算中的重要領域，也是人工智能迅速發展的重要領域，它是一類模擬自然進化過程和達爾文“適者生存”的算法。這一算法企圖通過使用諸如交叉、變異等算子從先前的候選解中生成最佳解。進化硬件（Evolvable Hardware，EHW）則是受自然進化得到靈感、設計硬件系統的新型設計方法，它是進化計算技術和電子硬件結合的產物。本文給出GAs在計算機模型中的基本概念，討論進化再配置硬件的設計，最后給出幾個進化實驗的例子。
關鍵詞 遺傳算法 進化硬件 進化實驗
Abstract Genetic algorithms are an important area of Evolutionary Computing, which is a rapidly growing area of Artificial Intelligence. They are a class of algorithms which mimic the natural process of Evolution and Darwin’s principle of "Survival of the Fittest", The algorithms attempt to generate the best solution from previous solutions by the use of genetic operators such as crossover & mutation. Evolvable Hardware is a new scheme inspired by natural evolution, for designing hardware systems. It is also a child of the marriage between evolutionary computation techniques and electronic hardware. The paper presents basic concepts of Genetic Algorithm in its computer model and discusses design of evolvable reconfigurable hardware. Finally, some examples in evolutionary experiments are presented.
Keywords Genetic algorithms；Evolvable hardware；Evolutionary experiments