TY  - CONF
SN  - 0094243X
Y1  - 2011///
EP  - 251
VL  - 1337
A1  - Vasant, P.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051553745&doi=10.1063%2f1.3592473&partnerID=40&md5=b2ced367fca91b341db70de1c8781e95
AV  - none
CY  - Sarawak
ID  - scholars1968
TI  - Solving fuzzy optimization problem using hybrid LS-SA-PS method
SP  - 245
N1  - cited By 0; Conference of 4th Global Conference on Power Control and Optimization ; Conference Date: 2 December 2010 Through 4 December 2010
N2  - Fuzzy optimization problem has been one of the most and prominent topics inside the broad area of computational intelligent. It's especially relevant in the filed of fuzzy non-linear programming. It's application as well as practical realization can been seen in all the real world problems. In this paper a large scale non-linear fuzzy programming problem has been solved by hybrid optimization techniques of Line Search (LS), Simulated Annealing (SA) and Pattern Search (PS). As industrial production planning problem with cubic objective function, 8 decision variables and 29 constraints has been solved successfully using LS-SA-PS hybrid optimization techniques. The computational results for the objective function respect to vagueness factor and level of satisfaction has been provided in the form of 2D and 3D plots. The outcome is very promising and strongly suggests that the hybrid LS-SA-PS algorithm is very efficient and productive in solving the large scale non-linear fuzzy programming problem. © 2011 American Institute of Physics.
ER  -