An application of simulated annealing to the optimum design of reinforced concrete retaining structures

Abstract

This paper reports on the application of a simulated annealing algorithm to the minimum cost design of reinforced concrete retaining structures. Cantilever retaining walls are investigated, being representative of reinforced concrete retaining structures that are required to resist a combination of earth and hydrostatic loading. To solve such a constrained optimisation problem, a modified simulated annealing algorithm is proposed that avoids the simple rejection of infeasible solutions and improves convergence to a minimum cost. The algorithm was implemented using an object-orientated visual programming language, offering facilities for continual monitoring, assessing and changing of the simulated annealing control parameters. Results show that the simulated annealing can be successfully applied to the minimum cost design of reinforced concrete retaining walls, overcoming the difficulties associated with the practical and realistic assessment of the structural costs and their complex inter-relationship with the imposed constraints on the solution space.

Testiranje heurističkih metoda optimizacije za detekciju oštećenja na bazi vibracija

“…In the next iteration, the annealing temperature T is going to be decreased, as a starting parameter of the proposed so-called cooling schedule during the iterations, which reduces the acceptance probability p. An important issue of SA algorithm is the initial temperature T 0 , as an initial parameter of the algorithm and cooling schedule during iterations, which defines decrease in temperature and reduction in acceptance probability. Some authors [12] proposed various approaches for determining initial temperature and cooling-schedule. Those approaches could be defined either by linear, exponential or logarithmic relation.…”

Optimum design of RC cantilever retaining walls subjected to static and dynamic loadings by differential evolution algorithm

“…[15], Khajehzadeh ve Eslami [16], Ceranic ve diğ. [17], Kaveh ve Abadi [18], Sheikholeslami ve diğ. [19], Camp ve Akin [20], Kaveh ve diğ.…”

Optimum Cost Design of Reinforced Concrete Retaining Walls Using Hybrid Firefly Algorithm

“…In their study, they controlled overturning failure, sliding failure, shear and moment capacities of toe slab, heel slab, and stem of wall as constraints. Ceranic and Fryer [2] proposed an optimization algorithm based on simulated annealing (SA). Sivakumar and Munwar [3] introduced a target reliability approach (TRA) for design optimization of retaining walls.…”