Title :
The genetic algorithm-or can we improve design by breeding?
Author_Institution :
Dept. of Civil Eng., Leeds Univ., UK
Abstract :
The genetic algorithm (GA) is a comparatively recent addition to methods of optimization suitable for engineering design. The algorithm uses the principle of natural selection/survival of the fittest to improve a stochastically generated initial population of designs. The author discusses the representation of design data, the objective function and the design constraint
Keywords :
engineering computing; genetic algorithms; design constraint; engineering design; genetic algorithm; objective function; optimization;
Conference_Titel :
Artificial Intelligence in Civil Engineering, IEE Colloquium on
Conference_Location :
London
