A genetic algorithm for design of moment-resisting steel frames

摘要: This paper presents computational approaches that can be implemented in a decision support system for the design of moment-resisting steel frames. Trade-off studies are performed using genetic algorithms to evaluate savings due inclusion cost connections optimization model. Since labor costs and material vary according geographical location time construction, trade-off curves computed several values ratio between rigid connection steel. A real-life 5-bay 5-story frame is used illustration. Results indicate total minimal when present only at certain locations. Finally, "Modeling Generate Alternatives--MGA," proposed generate good alternatives as solution from may not optimal with respect unmodeled objectives constraints. It provides set near-optimal modelled also farther each other space. show final could chosen or obtained by tinkering one alternatives.