Fractional-order particle swarm based multi-objective PWR core loading pattern optimization

In this study the multi-objective core reload pattern optimization has been performed using the Fractional Order Particle Swarm Optimization (FOPSO) algorithm. The multi-objective goals aimed at maximization of the cycle multiplication factor while maintaining the core radial power peaking factor flat within the prescribed safety limits. These calculations have been performed for the first core loading of CHASNUPP-1 using PSU-LEOPARD and MCRAC codes for burnup dependent group constant generation and the subsequent diffusion theory-based criticality and cycle burnup calculations, respectively. Using the proposed FOPSO scheme, enhancement in the cycle length have been observed while maintaining power peaking factor within the prescribed constraints throughout the cycle. The FOPSO methodology has been found robust and efficient.