Optimum Design of Structures with Group Search Optimizer Algorithm

Abstract

This chapter introduces a novel optimization algorithm, group search optimizer (GSO) algorithm. The implementation method of this algorithm is presented in detail. The GSO was used to investigate the truss structures with continuous variables and was tested by five planar and space truss optimization problems. The efficiency of GSO for frame structure with discrete variables was valued by three frame structures. The optimization results were compared with that of the particle swarm optimizer (PSO), the particle swarm optimizer with passive congregation (PSOPC) and the heuristic particle swarm optimizer (HPSO), ant colony optimization algorithm (ACO) and genetic algorithms (GA). Results from the tested cases illustrate the competitive ability of the GSO to find the optimal results.