Open AccessStrategy for the evolutionary optimization of reinforced concrete frames based on parallel populations evolving
Author(s) -
Ashot Tamrazyan,
Anatoly Alekseytsev
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/869/5/052019
Subject(s) - selection (genetic algorithm) , genetic algorithm , mathematical optimization , set (abstract data type) , frame (networking) , position (finance) , computer science , topology optimization , network topology , process (computing) , evolutionary algorithm , reinforcement , topology (electrical circuits) , algorithm , structural engineering , mathematics , artificial intelligence , engineering , finite element method , combinatorics , telecommunications , finance , economics , programming language , operating system
An algorithm has been developed for optimization of reinforced concrete frames with the possibility of forming a structure with a subsequent selection of reasonable section sizes and reinforcement for it. A modified genetic algorithm is used as the main search tool. The overall optimization process is divided into two stages. At the first stage, the topology is synthesized by randomly excluding groups of structural members as well as changing the position in space of the remaining groups. At the second stage, local parallel evolving genetic algorithms are performed for the formed topologies. With a common set of variable parameters, the migration of individuals between parallel populations is not allowed. An example of optimization of the multi-story building frame is considered.