A Multiple-Objective Algorism Design and Strategy Study Based on Target Space Partitioning
This paper proposed a multiple-objective algorism based on target space partitioning and demonstrated its evolution and optimization. The result showed that this algorism is effective in keeping the even distribution and convergence of the solutions. This paper also proposed an innovative design idea for algorism computation – the concept of tolerance is introduced and by adopting the double-population storage mechanism, the algorism's overall optimization capability is improved.
Helen Zhang, Gang Shen and David Jin
Z. X. Shang and H. Liu, "A Multiple-Objective Algorism Design and Strategy Study Based on Target Space Partitioning", Advanced Materials Research, Vols. 219-220, pp. 1228-1232, 2011