Multilayer perceptron for nonlinear programming

Computers and Operations Research

Volumn 29, Issue 9, 2002, Pages 1237-1250

  Reifman, Jaques ^a,b   Feldman, Earl E ^a  

^a ARGONNE NATIONAL LABORATORY   (United States)

^b U S ARMY MEDICAL RESEARCH AND MATERIEL COMMAND   (United States)

Author keywords

Artificial neural network; Multilayer perceptron; Nonlinear constrained optimization; Penalty function method

Indexed keywords

COMPUTER SIMULATION; CONSTRAINT THEORY; MULTILAYER NEURAL NETWORKS; NONLINEAR PROGRAMMING; OPTIMIZATION; PROBLEM SOLVING;

CONSTRAINED OPTIMIZATION;

OPERATIONS RESEARCH;

ARTIFICIAL NEURAL NETWORK;

EID: 0036680966     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-0548(01)00027-2     Document Type: Article

References (16)

1. Neural computation of decisions in optimization problems
2. Simple neural optimization networks: An A/D converter, signal decision network, and a linear programming circuit
3. Neural networks for nonlinear programming
4. A two-phase optimization neural network
5. Learning internal representations by error propagation
6. Constrained optimization via parameter-free penalty functions
7. System optimization with artificial neural networks
8. System optimization with artificial neural networks: Parallel implementation using transputers
9. An analysis of a class of neural networks for solving linear programming problems
10. Neuro computing with time delay analysis for solving convex quadratic programming problems
11. Accelerating learning of neural networks with conjugate gradients for nuclear power plant applications
12. A widely convergent method for finding multiple solutions of simultaneous nonlinear equations
13. An intelligent emissions controller for fuel lean gas reburn in coal-fired power plants