A FAST GA-BASED METHOD FOR SOLVING TRUSS OPTIMIZATION PROBLEMS
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 42
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شناسه ملی سند علمی:
JR_IJOCE-6-1_007
تاریخ نمایه سازی: 5 آذر 1402
چکیده مقاله:
Due to the complex structural issues and
increasing number of design variables, a rather fast optimization algorithm to
lead to a global swift convergence history without multiple attempts may be of
major concern. Genetic Algorithm (GA) includes random numerical technique that
is inspired by nature and is used to solve optimization problems. In this
study, a novel GA method based on self-adaptive operators is presented. Results
show that this proposed method is faster than many other defined GA-based
conventional algorithms. To investigate the efficiency of the proposed method,
several famous optimization truss problems with semi-discrete variables are
studied. The results reflect the good performance of the algorithm where
relatively a less number of analyses is required for the global optimum
solution.
کلیدواژه ها:
genetic algorithm- optimization- structural optimization.
نویسندگان