DocumentCode
3517789
Title
MINLP algorithms mixed with constraint programming
Author
Ma, Longhua ; Zhang, Liyan ; Qian, Jixin
Author_Institution
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Volume
2
fYear
2004
fDate
15-19 June 2004
Firstpage
1040
Abstract
This paper advanced mixed integer nonlinear programming (MINLP) algorithms mixed with constraint programming (CP) to solve industrial process hybrid model mixed with logical rule. CP methods have proved to be successful in solving highly constrained discrete optimization and feasibility problems. It can effectively solve hybrid model mixed with logical rule by integrating CP, nonlinear programming and mixed integer linear programming. Computational results demonstrated this algorithm.
Keywords
constraint handling; integer programming; linear programming; nonlinear programming; process control; constraint programming; discrete optimization; feasibility problems; industrial process hybrid model; mixed integer nonlinear programming algorithm; Constraint optimization; Electrical equipment industry; Industrial control; Integer linear programming; Laboratories; Logic programming; Mixed integer linear programming; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1340769
Filename
1340769
Link To Document