Optimum Design of Plate Structures Using Binary Particle Swarm Optimization
نویسندگان
چکیده
Particle swarm optimization is an efficient population based algorithm used to solve real valued and nonlinear continuous optimization problems. To resolve binary optimization problems with PSO, binary particle swarm optimization (BPSO) has been developed. In this paper, optimum design of plates using BPSO is presented. The objective function aims at finding the optimum weight of plates with the nodal displacements selected as constraints. Numerical examples show that BPSO can be a suitable algorithm to solve optimization problems in binary search space.
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