This study considers the optimum design of reinforced concrete combined footings. Analysis and design procedures are developed based on the American Concrete Institute (ACI 318-05) regulations and several geotechnical...
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This study considers the optimum design of reinforced concrete combined footings. Analysis and design procedures are developed based on the American Concrete Institute (ACI 318-05) regulations and several geotechnical considerations for providing stability to the structure. Low-cost designs are generated using five swarmintelligencealgorithms [i.e., particle swarm optimization (PSO), accelerated particle swarm optimization (APSO), whale optimization algorithm (WOA), ant lion optimizer (ALO), and moth flame optimization (MFO)]. The performance of these algorithms is examined through two numerical simulations. First, a combined footing design from the literature is optimized using the five swarmintelligencealgorithms. The impacts of concrete compressive strength (fc) on the final cost are studied through a sensitivity analysis. Second, rectangular and trapezoidal combined footings are optimized using the best algorithm in the first example (i.e., PSO) to explore the effect of shape on the final design. Also, a sensitivity analysis is performed on the effects of the design parameters on the cost.
Artificial bee colony(ABC) algorithm is one of bio-inspired algorithms(BIAs) that has created interest among optimization researchers because of its many successes in solving various optimization problems. Nevertheles...
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Artificial bee colony(ABC) algorithm is one of bio-inspired algorithms(BIAs) that has created interest among optimization researchers because of its many successes in solving various optimization problems. Nevertheless, it has been identified to have few limitations which are slow convergence speed and premature convergence tendency. In order to eradicate the limitations, researchers have proposed variants of ABC which have also been found to be insufficient enough to overcome the problems simultaneously. Thus, a new ABC variant has been proposed in this work to solve the stated problems. The proposed algorithm is referred to as JA-ABC2. It has shown superior results at improving the performance of ABC algorithm.
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