GEOMETRIC APPROACH TO FLETCHERS IDEAL PENALTY-FUNCTION

被引:3
作者
CHRISTIANSON, B
机构
[1] School of Information Sciences, University of Hertfordshire, College Lane, Hatfield
关键词
AUTOMATIC DIFFERENTIATION; CONSTRAINED OPTIMIZATION; DIFFERENTIABLE PENALTY FUNCTION; REVERSE ACCUMULATION; TERMINATION PROOFS; VALIDATION;
D O I
10.1007/BF02192124
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
In this note, we derive a geometric formulation of an ideal penalty function for equality constrained problems. This differentiable penalty function requires no parameter estimation or adjustment, has numerical conditioning similar to that of the target function from which it is constructed, and also has the desirable property that the strict second-order constrained minima of the target function are precisely those strict second-order unconstrained minima of the penalty function which satisfy the constraints. Such a penalty function can be used to establish termination properties for algorithms which avoid ill-conditioned steps. Numerical values for the penalty function and its derivatives can be calculated efficiently using automatic differentiation techniques.
引用
收藏
页码:433 / 441
页数:9
相关论文
共 50 条
[41]   A NEW SMOOTHING APPROACH TO EXACT PENALTY FUNCTIONS FOR INEQUALITY CONSTRAINED OPTIMIZATION PROBLEMS [J].
Sahiner, Ahmet ;
Kapusuz, Gulden ;
Yilmaz, Nurullah .
NUMERICAL ALGEBRA CONTROL AND OPTIMIZATION, 2016, 6 (02) :161-173
[42]   Heuristic Optimization Based on Penalty Approach for Surface Permanent Magnet Synchronous Machines [J].
Mutluer, Mumtaz ;
Sahman, Mehmet Akif ;
Cunkas, Mehmet .
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2020, 45 (08) :6751-6767
[43]   Heuristic Optimization Based on Penalty Approach for Surface Permanent Magnet Synchronous Machines [J].
Mümtaz Mutluer ;
Mehmet Akif Şahman ;
Mehmet Çunkaş .
Arabian Journal for Science and Engineering, 2020, 45 :6751-6767
[44]   Invalidation of the structure of genetic network dynamics: a geometric approach [J].
Porreca, Riccardo ;
Cinquemani, Eugenio ;
Lygeros, John ;
Ferrari-Trecate, Giancarlo .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2012, 22 (10) :1140-1156
[45]   An exact penalty function-based differential search algorithm for constrained global optimization [J].
Jianjun Liu ;
K. L. Teo ;
Xiangyu Wang ;
Changzhi Wu .
Soft Computing, 2016, 20 :1305-1313
[46]   New exact penalty function for solving constrained finite min-max problems [J].
Cheng Ma ;
Xun Li ;
Ka-Fai Cedric Yiu ;
Lian-sheng Zhang .
Applied Mathematics and Mechanics, 2012, 33 :253-270
[47]   Secant algorithms with nonmonotone trust region that employs fletcher penalty function for constrained optimization [J].
Zhu, DT .
OPTIMIZATION, 2001, 50 (1-2) :121-153
[48]   An infeasible bundle method for nonsmooth convex constrained optimization without a penalty function or a filter [J].
Sagastizábal, C ;
Solodov, M .
SIAM JOURNAL ON OPTIMIZATION, 2005, 16 (01) :146-169
[49]   New exact penalty function for solving constrained finite min-max problems [J].
Ma, Cheng ;
Li, Xun ;
Yiu, Ka-Fai Cedric ;
Zhang, Lian-sheng .
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2012, 33 (02) :253-270
[50]   Smoothing approximation to l1 exact penalty function for inequality constrained optimization [J].
Lian, Shu-jun .
APPLIED MATHEMATICS AND COMPUTATION, 2012, 219 (06) :3113-3121