چکیده مقاله
Structural Optimization has always been a principal chapter of a desirable design and metaheuristic algorithms are a beneficial means in this regard Particle Swarm Optimization PSO is a powerful nature inspired metaheuristic algorithm that is based on the social behaviors of some animals and simulates the movement of organisms inside a bird flock or fish school The high convergence speed of PSO in collaboration with the intensity of this algorithm in solving different kinds of problems makes this algorithm susceptible to stuck in local optima at the early stages of the search process Therefore, in this paper, we proposed a new metaheuristic algorithm called PSOAOA conducting a mathematical approach inspired by Arithmetic Optimization Algorithm AOA Arithmetic Optimization Algorithm AOA is a population based metaheuristic in which the exploration and exploitation phases are modeled utilizing the Arithmetic Operators in Math Three structural optimization problems are solved by exerting this new approach and the results are compared with several recently proposed algorithms in order to validate the capability of the algorithm proposed in this research
کلیدواژهها
نویسندگان
M. Ilchi Ghazaan
School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
A.M Salmani Oshnari
Department of Civil Engineering, Sharif University of Technology, Tehran, Iran
A.H Salmani Oshnari
Department of Civil Engineering, Sharif University of Technology, Tehran, Iran
شیوه ارجاع
Ilchi Ghazaan, M. and Salmani Oshnari, A.M and Salmani Oshnari, A.H,1402,A New Hybrid PSOAOA Algorithm for Optimum Design of Structures,13th International Congress on Civil Engineering,Tehran
ارائهشده در
مجموعه مقالات سیزدهمین کنگره بین المللی مهندسی عمران25 مهر 1402 · تهران