An efficient logarithmic barrier method for linear programming

2021 ◽  
Vol 42 (8) ◽  
pp. 1799-1813
Author(s):  
L. Menniche ◽  
D. Benterki ◽  
I. Benchetta
2018 ◽  
Vol 178 (1-2) ◽  
pp. 109-143 ◽  
Author(s):  
Stefania Bellavia ◽  
Jacek Gondzio ◽  
Margherita Porcelli

Author(s):  
Raju Prajapati ◽  
Om Prakash Dubey ◽  
Randhir Kumar

The Non-Linear Programming Problems (NLPP) are computationally hard to solve as compared to the Linear Programming Problems (LPP). To solve NLPP, the available methods are Lagrangian Multipliers, Sub gradient method, Karush-Kuhn-Tucker conditions, Penalty and Barrier method etc. In this paper, we are applying Barrier method to convert the NLPP with equality constraint to an NLPP without constraint. We use the improved version of famous Particle Swarm Optimization (PSO) method to obtain the solution of NLPP without constraint. SCILAB programming language is used to evaluate the solution on sample problems. The results of sample problems are compared on Improved PSO and general PSO.


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