Genetic Algorithm Optimisation for Steel-Concrete Composite Columns
Omar Bhuiyan
Corresponding
Islamic University of Technology
Elena Suzuki
Khulna University of Engineering & Technology
Jing Khan
National University of Sciences and Technology
Abstract
The scarcity of local design data forces regional engineers to adopt foreign standards when building precision agriculture. To quantify uncertainty, the procedure embeds genetic algorithm optimisation within a Monte Carlo sampling scheme. The proposed controller lowered settling time by 59% relative to a conventional design. Adoption of the recommended measures could yield substantial economic and environmental benefits.
Keywords:
steel-concrete composite columnsgenetic algorithm optimisationmimoheat transfersmart gridcloud computing
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