TY - GEN
T1 - Adaptive Plan system using Differential Evolution with Genetic Algorithm
AU - Pham, Hieu
AU - Bui, Tam
AU - Hasegawa, Hiroshi
PY - 2013/5/15
Y1 - 2013/5/15
N2 - This paper describes a new proposed strategy of Adaptive Plan System using Differential Evolution (DE) with Genetic Algorithm (GA) called APGA/DE to solve large scale optimization problems, to reduce a large amount of calculation cost, and to improve stability in convergence to an optimal solution. This is an approach that combines the global search ability of GA and Adaptive Plan (AP) for local search ability. The proposed strategy incorporates new concept of AP using DE for Adaptive System (AS) with GA. The APGA/DE is applied to several benchmark functions with multi-dimensions to evaluate its performance. It is shown to be statistically significantly superior to other Evolutionary Algorithms (EAs), and Memetic Algorithms (MAs). We confirmed satisfactory performance through various benchmark tests.
AB - This paper describes a new proposed strategy of Adaptive Plan System using Differential Evolution (DE) with Genetic Algorithm (GA) called APGA/DE to solve large scale optimization problems, to reduce a large amount of calculation cost, and to improve stability in convergence to an optimal solution. This is an approach that combines the global search ability of GA and Adaptive Plan (AP) for local search ability. The proposed strategy incorporates new concept of AP using DE for Adaptive System (AS) with GA. The APGA/DE is applied to several benchmark functions with multi-dimensions to evaluate its performance. It is shown to be statistically significantly superior to other Evolutionary Algorithms (EAs), and Memetic Algorithms (MAs). We confirmed satisfactory performance through various benchmark tests.
UR - http://www.scopus.com/inward/record.url?scp=84877629415&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877629415&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2013.6505645
DO - 10.1109/ICIT.2013.6505645
M3 - Conference contribution
AN - SCOPUS:84877629415
SN - 9781467345699
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 40
EP - 45
BT - Proceedings - 2013 IEEE International Conference on Industrial Technology, ICIT 2013
T2 - 2013 IEEE International Conference on Industrial Technology, ICIT 2013
Y2 - 25 February 2013 through 28 February 2013
ER -