A HYBRID SIMULATED ANNEALING, PARTICLE SWARM AND ANT COLONY OPTIMIZATION FOR DESIGN OF DOUBLE CURVED DAMS
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 111
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شناسه ملی سند علمی:
JR_IJOCE-13-4_002
تاریخ نمایه سازی: 5 آذر 1402
چکیده مقاله:
Shape optimization of a double-curved dam is formulated using control points for interpolation functions. Every design vector is decoded into the integrated water-dam-foundation rock model. An enhanced algorithm is proposed by hybridizing particle swarm algorithm with ant colony optimization and simulated annealing. The best experiences of the search agents are indirectly shared via pheromone trail deposited on a bi-partite characteristic graph. Such a stochastic search is further tuned by Boltzmann functions in simulated annealing. The proposed method earned the first rank in comparison with six well-known meta‑heuristic algorithms in solving benchmark test functions. It captured the optimal shape design of Morrow Point dam, as a widely addressed case-study, by ۲۱% reduced concrete volume with respect to the common USBR design practice and ۱۶% better than the particle swarm optimizer. Such an optimal design was also superior to the others in stress redistribution for better performance of the dam system.
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