Using a repair genetic algorithm for solving constrained nonlinear optimization problems

2018 ◽  
Vol 39 (8) ◽  
pp. 1647-1663 ◽  
Author(s):  
Narges Bidabadi
Author(s):  
William P. Fox

We present both classical analytical, numerical, and heuristic techniques to solve constrained optimization problems relating to business, industry, and government. We briefly discuss other methods such as genetic algorithm. Today's business environment has many resource challenges to their attempts to maximize profits or minimize costs for which constrained optimization might be used. Facility location and transportation networks techniques are often used as well as the traveling salesman problem.


2020 ◽  
Vol 32 (16) ◽  
pp. 12427-12452 ◽  
Author(s):  
Avijit Duary ◽  
Md Sadikur Rahman ◽  
Ali Akbar Shaikh ◽  
Seyed Taghi Akhavan Niaki ◽  
Asoke Kumar Bhunia

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