%D 2012
%R 10.1063/1.4769009
%O cited By 1; Conference of 6th Global Conference on Power Control and Optimization, PCO 2012 ; Conference Date: 6 August 2012 Through 8 August 2012
%L scholars2610
%J AIP Conference Proceedings
%X In this paper, the main significant contributions of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in the industrial production planning problems has been investigated thoroughly. This non-linear membership function is flexible and convenience to the decision makers in their decision making process. Secondly, a nonlinear objective function in the form of cubic function for fuzzy optimization problems is successfully solved by 15 hybrid and non-hybrid optimization techniques from the area of soft computing and classical approaches. An intelligent performance analysis table is tabulated to the convenience of decision makers and implementers to select the niche optimization techniques to apply in real word problem solving approach particularly related to industrial engineering problems. © 2012 American Institute of Physics.
%P 325-331
%C Las Vegas, NV
%T Hybrid intelligent algorithms for industrial production planning
%A P. Vasant
%V 1499