چكيده به لاتين
In the present extremely competitive world, human beings attempt to exploit the maximum output or benefit from a limited amount of available resources. In engineering design, choosing design variables that fulfill all design requirements and have the lowest possible cost is concerned, i.e. the main objective is to comply with basic standards but also to achieve good economic results. Optimization offers a technique for solving this type of problems.
This work presents a novel efficient meta-heuristic optimization algorithm called Colliding Bodies Optimization (CBO), for optimization. CBO utilizes simple formulation to find minimum or maximum of functions and does not depend on any internal parameter. In this study, two new versions of CBO are proposed to improve its effectiveness.
In this work, CBO and its improved versions are utilized for different problems such as: optimal design of truss structures, Optimal domain decomposition, modification of ground motions, Optimal design of pitched roof frames with tapered members and damage identification of truss structures. Comparative studies illustrate the superiority of the CBO and its enhanced algorithms compared to some of those previously reported in the literature.
