TY  - CONF
A1  - Vasant, P.
A1  - Barsoum, N.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-55549106829&doi=10.1063%2f1.3008681&partnerID=40&md5=e6854b6bde181f546665f612a1a315f7
EP  - 283
VL  - 1052
Y1  - 2008///
PB  - American Institute of Physics Inc.
SN  - 0094243X
N2  - Many engineering, science, information technology and management optimization problems can be considered as non linear programming real world problems where the all or some of the parameters and variables involved are uncertain in nature. These can only be quantified using intelligent computational techniques such as evolutionary computation and fuzzy logic. The main objective of this research paper is to solve non linear fuzzy optimization problem where the technological coefficient in the constraints involved are fuzzy numbers which was represented by logistic membership functions by using hybrid evolutionary optimization approach. To explore the applicability of the present study a numerical example is considered to determine the production planning for the decision variables and profit of the company. © American Institute of Physics.
N1  - cited By 4; Conference of International Conference on Power Control and Optimization, PCO 2008 ; Conference Date: 18 July 2008 Through 20 August 2008
TI  - Hybrid genetic agorithms and line search method for industrial production planning with non-linear fitness function
ID  - scholars503
SP  - 278
CY  - Chiang Mai
AV  - none
ER  -