TY - GEN
T1 - Dynamic multi-objective differential evolution for solving constrained optimization problem
AU - Jia, Lina
AU - Zeng, Sanyou
AU - Zhou, Dong
AU - Zhou, Aimin
AU - Li, Zhengjun
AU - Jing, Hongyong
PY - 2011
Y1 - 2011
N2 - Dynamic constrained multi-objective differential evolution(DCMODE) is designed for solving constrained optimization problem(COP). Main feature presented in this paper is to construct dynamic multi-objective optimization problem(DMOP) from COP. The two evolved objectives are original function objective and violation objective. Constraints are controlled by dynamic environments, where the relaxed constraints boundaries are gradually tightened to original boundaries. After this dynamic process, DMOP solutions are close to COP solution. This new algorithm is tested on benchmark problems of special session at CEC2006 with 100% success rates of all problems. Compared with several state-of-the-art DE variants referred in this paper, our algorithm outperforms or performs similarly to them. The satisfactory results suggest that it is efficient and generic when handling inequality/equality constraints.
AB - Dynamic constrained multi-objective differential evolution(DCMODE) is designed for solving constrained optimization problem(COP). Main feature presented in this paper is to construct dynamic multi-objective optimization problem(DMOP) from COP. The two evolved objectives are original function objective and violation objective. Constraints are controlled by dynamic environments, where the relaxed constraints boundaries are gradually tightened to original boundaries. After this dynamic process, DMOP solutions are close to COP solution. This new algorithm is tested on benchmark problems of special session at CEC2006 with 100% success rates of all problems. Compared with several state-of-the-art DE variants referred in this paper, our algorithm outperforms or performs similarly to them. The satisfactory results suggest that it is efficient and generic when handling inequality/equality constraints.
KW - Constrained optimization
KW - Differential Evolution
KW - Dynamic Constrained Multi-objective Optimization
UR - https://www.scopus.com/pages/publications/80051990952
U2 - 10.1109/CEC.2011.5949949
DO - 10.1109/CEC.2011.5949949
M3 - 会议稿件
AN - SCOPUS:80051990952
SN - 9781424478347
T3 - 2011 IEEE Congress of Evolutionary Computation, CEC 2011
SP - 2649
EP - 2654
BT - 2011 IEEE Congress of Evolutionary Computation, CEC 2011
T2 - 2011 IEEE Congress of Evolutionary Computation, CEC 2011
Y2 - 5 June 2011 through 8 June 2011
ER -