TY  - JOUR
T1  - Hybrid Multi-Objective Workflow Scheduling on Utility Grids
AU - Bansal, Sunita AU - Hota, Chittaranjan 
JO  - International Journal of Soft Computing
VL  - 10
IS  - 1
SP  - 6
EP  - 18
PY  - 2015
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2015.6.18
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2015.6.18
KW  - NSGA-II
KW  -hybrid
KW  -ranking
KW  -workflow
KW  -scheduling
AB  - Workflow scheduling is solved using heuristics and meta-heuristics. Heuristics are used to get an optimal solution while meta-heuristics are used to get near optimal solution. Meta-heuristics are general purpose method of solving different types of problem. This study puts Double Hybrid Multi-objective Non-Dominated Sorting Genetic Algorithm (DHNSGA-II) that gears up the convergence of the algorithm. DHNSGA-II does hybridization at two levels. At the first level it uses pre-selection operator. At the second level it uses Memetic algorithm. Pre-selection operator seeds the DHNSGA-II with the previously generated solutions. Memetic algorithm improves the current population using multi-objective local search. Apart from DHSNGA-II researchers introduced an approach to rank the Pareto frontiers because Pareto frontier has many solutions; it is nearly impossible to choose the best solution. The experimental result reveals that the proposed approach in this research performs well in optimizing the workflow scheduling jobs.
ER  -