SUMMARY
In this paper, the use of extended versions of basic Particle Swarm Optimization (PSO) to Reinforced Concrete (RC) structural elements has been presented. The aim of extended versions of basic particle swarm optimization techniques to seek the global optima by maximizing the explorations area and minimizing the exploration time. Optimal sizing and reinforcement of RC structural members have been found by employing these techniques. The algorithms are coded in C++ and their effectiveness was tested in some benchmark mathematical functions. The different variables of each structural element have been considered as continuous functions and rounded off appropriately to imbibe the practical relevance of the present study.