A new BPSO algorithm and applications in interruptible load management

Abstract

After thorough analyses of the standard PSO, BPSO and the relative varied algorithms, this paper proposes a new natural learning mode, named MNLBPSO, which is based on BPSO. Using a relaxing restriction method, we establish an unconstrained multi-objective optimization model for the Interruptible load management problem, and apply the new algorithm, MNLBPSO, to solve this model. Two experiments are made with different load interruption demands and MNLBPSO can obtain better schemes with much less iteration time than BPSO. And the results of the experiments indicate that MNLBPSO algorithm is more powerful and effective than BPSO and has excellent properties, such as naturalness, simplicity and speediness. © 2010 Springer-Verlag Berlin Heidelberg.