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- W2337358464 abstract "Mathematical modelling of real-world-sized steel frames under the Load and Resistance Factor Design–American Institute of Steel Construction (LRFD-AISC) steel design code provisions, where the steel profiles for the members are selected from a table of steel sections, turns out to be a discrete nonlinear programming problem. Finding the optimum design of such design optimization problems using classical optimization techniques is difficult. Metaheuristic algorithms provide an alternative way of solving such problems. The firefly algorithm (FFA) belongs to the swarm intelligence group of metaheuristics. The standard FFA has the drawback of being caught up in local optima in large-sized steel frame design problems. This study attempts to enhance the performance of the FFA by suggesting two new expressions for the attractiveness and randomness parameters of the algorithm. Two real-world-sized design examples are designed by the enhanced FFA and its performance is compared with standard FFA as well as with pa..." @default.
- W2337358464 created "2016-06-24" @default.
- W2337358464 creator A5085022309 @default.
- W2337358464 date "2016-02-19" @default.
- W2337358464 modified "2023-10-03" @default.
- W2337358464 title "Design optimization of steel frames using an enhanced firefly algorithm" @default.
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- W2337358464 doi "https://doi.org/10.1080/0305215x.2016.1145217" @default.
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