Concerning the drawbacks of trapping in local optimal solutions and low convergence accuracy of standard Harmony Search (HS) algorithm, a new harmony search algorithm based on Circular Trust Region (CTR), named as CTRHS, was proposed. CTRHS adopted the one-off generation mode of two pitches. Intensive considerations within the circular trust region were interactively conducted in its memory considering process. Adjustment bandwidth was determined by means of the best or worst harmony vector of current Harmony Memory (HM) during the adjusting process of double pitches. The update of HM was achieved by replacing the worst harmony in current HM with the newly generated harmony. Computational experiments were conducted upon 9 benchmark functions to validate the performance of CTRHS. As demonstrated in the results, CTRHS outperforms other 7 reported HS variants in terms of solution quality and convergence efficiency. Moreover, when the parameters of Harmony Memory Size (HMS) and Harmony Memory Considering Rate (HMCR) are respectively equal to 5 and 0.99, it has better performance in searching the global optimal solutions.
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LIU Le. Improved harmony search algorithm based on circular trust region. Journal of Computer Applications, 2015, 35(4): 1049-1056.
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2015, Vol. 35 
