Premium
Design optimization of truss structures with continuous and discrete variables by hybrid of biogeography‐based optimization and differential evolution methods
Author(s) -
Jalili Shahin,
Hosseinzadeh Yousef
Publication year - 2018
Publication title -
the structural design of tall and special buildings
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 43
eISSN - 1541-7808
pISSN - 1541-7794
DOI - 10.1002/tal.1495
Subject(s) - truss , mathematical optimization , differential evolution , embedding , convergence (economics) , continuous optimization , computer science , global optimization , algorithm , optimization problem , mathematics , multi swarm optimization , engineering , artificial intelligence , structural engineering , economics , economic growth
Summary This paper presents a hybrid BBO‐DE algorithm by hybridizing biogeography‐based optimization (BBO) and differential evolution (DE) methods for optimum design of truss structures with continuous and discrete variables. In BBO‐DE, the migration operator of BBO method serves as a local exploiter mechanism during the search process. Besides, DE has a role of the global exploration by performing multiple search directions in the search space to preserve more diversity in the population. By embedding of DE algorithm in BBO method as a mutation mechanism, the balance between the exploration and exploitation abilities is further improved. The comparative results with some of the most recently developed methods demonstrate the fast convergence properties of the proposed algorithm and confirm its effectiveness to solve optimum design problems of truss structures with continuous and discrete variables.