An Investigation of Hybrid Optimization Techniques for Air Flow Temperature Process

2021 ◽  
Author(s):  
S. Arun Jayakar ◽  
T. Rajesh ◽  
S.Sakthiya Ram ◽  
C. Ganesh Babu
Keyword(s):  
Air Flow ◽  
Optimization Techniques ◽  
Hybrid Optimization ◽  
Flow Temperature ◽  
Hybrid Optimization Techniques

Hybrid Tabu Search Hopfield Recurrent ANN Fuzzy Technique to the Production Planning Problems

2012 ◽  
Vol 2 (1) ◽  
pp. 47-65 ◽  
Author(s):  
Pandian M. Vasant ◽  
Timothy Ganesan ◽  
Irraivan Elamvazuthi
Keyword(s):  
Tabu Search ◽  
Optimization Technique ◽  
Optimization Techniques ◽  
Oil Refinery ◽  
Hybrid Optimization ◽  
Real World Problem ◽  
Prime Objective ◽  
The Moment ◽  
Hybrid Optimization Techniques ◽  
Planning Problems

The fuzzy technology reveals that everything is a matter of degree. At the moment, many industrial production problems are solved by operational research optimization techniques, under the considerations of some real assumptions. In this paper, the authors have several applications of fuzzy linear, non-linear, non-continues and other mathematical programming applications. The prime objective of this paper is to investigate a new application to the literature and to solve the crude oil refinery production problem by using the hybrid optimization techniques of Tabu Search (TS), Hopfield Recurrent Artificial Neural Network (HRANN) and fuzzy approaches. In application, the real world problem of refinery model has been developed and thorough comparative studies have been carried on varies optimization techniques. The final results and findings reveal that, the hybrid optimization technique provides better, robust, efficient, flexible and stable solutions.

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