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Hybrid method for global optimization using more accuracy interval computation

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In this paper,a novel hybrid method is presented for finding global optimization of an objective function.Based on the interval computation,this hybrid method combines interval deterministic method and stochastic evolution method.It can find global optimization quickly while ensuring the deterministic and stability of the algorithm.When using interval computation,extra width constraints accuracy of interval computation results.In this paper,a splitting method to reduce the extra width is introduced.This method is easy and it can get a more precise interval computation result.When finding the global optimization,it can increase the efficiency of pruning.Several experiments are given to illustrate the advantage of the new hybrid method.

interval arithmeticglobal optimizationinterval computation extra widthhybrid method

CUI Zhong-hao、LEI Yong-mei

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School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China

Natural High-Technology Research and Development Program of ChinaMajor Technology Research and Development Program of Shanghai MunicipalityShanghai Leading Academic Discipline Project

2009AA01220108DZ501600J50103

2011

10.1007/s11741-011-0766-2

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子：0.196
ISSN：1007-6417
年,卷(期)：2011.15(5)
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