A new hybrid method for multi-objective fuel management optimization using parallel PSO-SA

• Parallel PSO-SA algorithm is capable of finding suitably optimized loading pattern.
• Two different fitness function equations applied for LP optimization problem.
• LP attained using fitness function type #1 is better that the one with the fitness function type #2.

In this paper, we developed a new parallel optimization algorithm, P-PSOSA, for performing the fuel management optimization; we define two different fitness function considering the multiplication factor maximizing and power peaking factor minimizing objectives simultaneously. For this purpose, we developed a FORTRAN program in order to gain the possible minimum fitness value for the loading pattern optimization operation. The P-PSOSA has been performed for KWU reactor. Numerical results of P-PSOSA confirm that the proposed algorithm has a great strength to obtain a near global core pattern as respect to considered objective functions during suitable consuming runtime.