TY - JOUR
T1 - Hybrid multi-objective differential evolution (H-MODE) for optimisation of polyethylene terephthalate (PET) reactor
AU - Gujarathi, Ashish M.
AU - Babu, B. V.
PY - 2010
Y1 - 2010
N2 - Multi-objective evolutionary algorithms (MOEAs) are used to solve the optimisation problems with more than one objective to be optimised simultaneously having conflict among each other. Due to the limitations of traditional deterministic algorithms to handle complex and nonlinear search space, several EAs are developed in the recent past. The multi-objective differential evolution (MODE) algorithm is already tested and found to be a reliable algorithm due to their ability to handle non-linear problems efficiently. Though MODE is accurate in terms of converging to the global Pareto front, traditional method has their advantage in terms of speed. We combined these two algorithms and developed hybrid strategy of MODE thus, achieving both accuracy and speed. Hybrid MODE (H-MODE) algorithm is applied on multi-objective optimisation of industrial wiped film polyethylene terephthalate reactor. The results of the present study are compared with those obtained using MODE algorithm. Smooth and well diverse Pareto optimal front is observed with a much faster speed using H-MODE.
AB - Multi-objective evolutionary algorithms (MOEAs) are used to solve the optimisation problems with more than one objective to be optimised simultaneously having conflict among each other. Due to the limitations of traditional deterministic algorithms to handle complex and nonlinear search space, several EAs are developed in the recent past. The multi-objective differential evolution (MODE) algorithm is already tested and found to be a reliable algorithm due to their ability to handle non-linear problems efficiently. Though MODE is accurate in terms of converging to the global Pareto front, traditional method has their advantage in terms of speed. We combined these two algorithms and developed hybrid strategy of MODE thus, achieving both accuracy and speed. Hybrid MODE (H-MODE) algorithm is applied on multi-objective optimisation of industrial wiped film polyethylene terephthalate reactor. The results of the present study are compared with those obtained using MODE algorithm. Smooth and well diverse Pareto optimal front is observed with a much faster speed using H-MODE.
KW - Bio-inspired computation
KW - EAs
KW - Evolutionary algorithms
KW - H-MODE
KW - Hybrid algorithms
KW - MOO
KW - Mode
KW - Modelling and simulation
KW - Multi-objective differential evolution
KW - Multi-objective optimisation
KW - Pareto front
KW - Polyethylene terephthalate reactor
UR - http://www.scopus.com/inward/record.url?scp=84555193788&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84555193788&partnerID=8YFLogxK
U2 - 10.1504/IJBIC.2010.033089
DO - 10.1504/IJBIC.2010.033089
M3 - Article
AN - SCOPUS:84555193788
SN - 1758-0366
VL - 2
SP - 213
EP - 221
JO - International Journal of Bio-Inspired Computation
JF - International Journal of Bio-Inspired Computation
IS - 3-4
ER -