Global Optimization Method Based on Incremental Radial Basis Functions
Global optimization techniques have been used extensively due to their capability in handling complex engineering problems.Metamodel becomes effective method to enhance global optimization.In this paper,we propose a new global optimization method base on incremental metamodel.At each sampling step,we adopt inherited Latin HyperCube design to sample points step by step,and propose a new incremental metamodel to update the cofficient matrix gradually.Experiments proved that the global optimization method has highest efficiency and can be finding global minimum fastly.
Metamodel Incremetal Radial Basis Functions Global optimization Inherited Latin Hypercube Design
Xin Wei Yizhong Wu Liping Chen
National CAD Supported Software Engineering Centre of Huazhong University of Science andTechnology, Wuhan, 430074, China
国际会议
台湾
英文
3950-3954
2011-12-11(万方平台首次上网日期,不代表论文的发表时间)