• MEHNAZA MAQBOOL
• Ashish Kumar
• Sandeep Singla

Infrastructure management s were originally constructed for mass production of standardized assembly products, to increase average worker productivity and overall throughput by leveraging labour specialization along the line (Dar-El and Shtub). Modern Infrastructure management s designed for make-to-order and mass customization production permit fast and flexible responses to customer demand, but are associated with significant automation and facility capital costs. Successful Infrastructure management planning is critical to engineering a cost-effective production process. There are lines of research arising from this work which should be pursued: Firstly, probe the three algorithms chosen (Boctor, Helgeson & Bernie and Bedworth & Bailey) in more examples with the aim to find out which is the best algorithm for that kind of problems. Finally, probe the new method with the post processor in bigger data sets to see if the new method performs well in real examples, and compare the results with the optimal ones.

Infrastructure Management, optimization, pso, cost, time.

"Infrastructure management by convex optimization using particle swarm approach and genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.33-42, June-2019, Available :http://www.jetir.org/papers/JETIR1906D59.pdf

"Infrastructure management by convex optimization using particle swarm approach and genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp33-42, June-2019, Available at : http://www.jetir.org/papers/JETIR1906D59.pdf