Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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Pitched roof steel frame appear to be the simplest structural form used in single storey building. However, its design necessitates consideration of many different structural criteria that are required in the design of complex structures. In this paper, genetic algorithm is used to develop an optimum design method for pitched roof steel frames with haunches for the rafters in the eaves. The algorithm selects the optimum universal beam sections for columns and rafters from the available steel sections table. Furthermore, it determines the optimum depth of haunch at eaves and length of the haunch required to reach the most cost-effective form. Formulation of the design problem is based on the elastic design method. The serviceability and the strength constraints are included in the design problem as defined in BS5950. Furthermore, the overall bucking of columns and rafters in the torsional mode between effective torsional restraints to both flanges is also checked. A pitch roof frame is designed by the algorithm developed to demonstrate its practical application.