TY  - JOUR
PB  - Springer Verlag
JF  - Soft Computing
EP  - 3200
SP  - 3189
N2  - Many large-scale engineering problems often take a multiobjective form. Thus, several solution options to the MO problem are usually ascertained by the engineer. Then the most desirable options with respect to the industrial circumstances and online operating conditions are selected. In this work, the trade-off solutions are obtained using the weighted-sum approach. In addition the standard metaheuristic, differential evolution is improved using concepts from evolutionary game theory. These techniques are then applied to solve the industrial green sand mould development problem. The solutions are then examined and discussed from various standpoints. © 2015, Springer-Verlag Berlin Heidelberg.
A1  - Ganesan, T.
A1  - Vasant, P.
A1  - Elamvazuthi, I.
A1  - Shaari, K.Z.K.
Y1  - 2016///
N1  - cited By 5
TI  - Game-theoretic differential evolution for multiobjective optimization of green sand mould system
SN  - 14327643
VL  - 20
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928691070&doi=10.1007%2fs00500-015-1694-5&partnerID=40&md5=e9aedeca0d1152964b7a96da141bd19c
ID  - scholars6908
KW  - Economic and social effects; Evolutionary algorithms; Molds; Multiobjective optimization; Optimization
KW  -  Differential Evolution; Green sand mould systems; Large-scale; Multi objective; Pareto frontiers
KW  -  Game theory
IS  - 8
ER  -