Title: Hybrid algorithm performance with varying population size for multi-objective optimisation of in-situ bioremediation of groundwater
Authors: Deepak Kumar; Sudheer Ch.; Shashi Mathur; B.K. Panigrahi
Addresses: Department of Civil Engineering, IIT Delhi-110016, India ' Department of Civil Engineering, IIT Delhi-110016, India ' Department of Civil Engineering, IIT Delhi-110016, India ' Department of Electrical Engineering, IIT Delhi-110016, India
Abstract: In-situ bioremediation of groundwater is one of the remediation technique applied for cleaning groundwater at its site. Cost of remediation and remaining concentration of contaminant are the main conflicting objectives to be decided during remediation period of groundwater. Multi objective optimisation is one of the best techniques to obtain Paretos for the conflicting objectives. In this study metaheuristic hybrid algorithm has been used to obtain Paretos for in-situ bioremediation of groundwater. Further, the performance of Paretos obtained with varying population size has been evaluated. The results indicate that too small or too large population size does not give well spaced Paretos. Only the population size in specific range shows better performance in the present study for groundwater remediation. The cost analysis of in-situ bioremediation based on the Paretos obtained from proposed hybrid algorithm shows that percentage increase in cost increases as the clean up standard of groundwater increases.
Keywords: in-situ bioremediation; multi-objective optimisation; Paretos; population size; groundwater bioremediation; metaheuristics; hybrid algorithms; remediation; performance; groundwater treatment.
International Journal of Bio-Inspired Computation, 2013 Vol.5 No.3, pp.164 - 174
Available online: 15 Jul 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article