TERMINAL REPELLER UNCONSTRAINED SUBENERGY TUNNELING (TRUST) FOR FASTGLOBAL OPTIMIZATION

被引:110
作者
CETIN, BC
BARHEN, J
BURDICK, JW
机构
[1] JET PROP LAB, NONLINEAR SCI & INFORMAT PROC GRP, PASADENA, CA 91109 USA
[2] CALTECH, DEPT MECH ENGN, PASADENA, CA 91125 USA
关键词
GLOBAL OPTIMIZATION; DYNAMICAL SYSTEMS; TERMINAL REPELLERS; SUBENERGY TUNNELING FUNCTION; ARTIFICIAL NEURAL NETWORKS;
D O I
10.1007/BF00940781
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
A new method for unconstrained global function optimization, acronymed TRUST, is introduced. This method formulates optimization as the solution of a deterministic dynamical system incorporating terminal repellers and a novel subenergy tunneling function. Benchmark tests comparing this method to other global optimization procedures are presented, and the TRUST algorithm is shown to be substantially faster. The TRUST formulation leads to a simple stopping criterion. In addition, the structure of the equations enables an implementation of the algorithm in analog VLSI hardware, in the vein of artificial neural networks, for further substantial speed enhancement.
引用
收藏
页码:97 / 126
页数:30
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