TY  - BOOK
SP  - 84
N1  - cited By 7
KW  - Decision making; Optimization; Planning; Problem solving; Production control; Soft computing
KW  -  Decision making process; Hybrid optimization; Industrial production; Non-linear membership functions; Nonlinear objective functions; Optimization techniques; Performance analysis; Word problem solving
KW  -  Membership functions
A1  - Vasant, P.
EP  - 111
Y1  - 2013///
TI  - Hybrid optimization techniques for industrial production planning
SN  - 9781466640351; 1466640340; 9781466640344
ID  - scholars3600
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944250516&doi=10.4018%2f978-1-4666-4034-4.ch005&partnerID=40&md5=467b24542ce2eb94fa5ddb743660eebb
PB  - IGI Global
N2  - In this chapter, 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 are investigated thoroughly. This non-linear membership function is flexible and convenient 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. Among the 15 techniques, three outstanding techniques are selected based on the percentage of quality solution. 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. © 2013, IGI Global.
ER  -