Abstract
This paper presents an effective optimization method for nonlinear constrained optimization of retaining structures. A newly developed heuristic global optimization algorithm called gravitational search algorithm (GSA) is introduced and applied for the optimization of retaining structures. The optimization procedure controls all geotechnical and structural design constraints while reducing the overall cost of the retaining wall. To verify the efficiency of the proposed method, two design examples of retaining structures are illustrated. To further validate the effectiveness and robustness of the GSA, these examples are solved using two other heuristic algorithms namely particle swarm optimization and genetic algorithm. The comparison between the results of the new method and selected other algorithms indicate that, the proposed method could provide solutions of high quality, accuracy and efficiency and outperforms other methods for optimum design of retaining structure.
Highlights
Earth retaining structures constitute an integral part of nonlinear functions, compared with some well-know the infrastructure and reinforced concrete retaining walls search methods (Rashedi et al, 2009)
Traditional methods for design of retaining structures are program called retaining structure optimization using based on trial and error approach, in which a trial design gravitational search algorithm (RSO-GSA) was developed is proposed and is checked against the geotechnical and by MATLAB
Particle swarm optimization (PSO), gravitational search By lapse of time, the masses will be attracted by the algorithm (GSA) is a newly developed heuristic heaviest mass which it presents an optimum solution in optimization method based on the law of gravity and the search space
Summary
Earth retaining structures constitute an integral part of nonlinear functions, compared with some well-know the infrastructure and reinforced concrete retaining walls search methods (Rashedi et al, 2009). In the final design is optimized economically During the this approach, the search agents are a collection of past decades, limited studies have been undertaken to masses which interact with each other based on the develop methodologies for the optimization of retaining Newtonian gravity and the laws of motion, in which the structures Particle swarm optimization (PSO), gravitational search By lapse of time, the masses will be attracted by the algorithm (GSA) is a newly developed heuristic heaviest mass which it presents an optimum solution in optimization method based on the law of gravity and the search space. The method is applied for optimization of retaining structures
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