@Article{cmes.2023.027055,
AUTHOR = {Wenchao Yi, Zhilei Lin, Yong Chen, Zhi Pei, Jiansha Lu},
TITLE = {An Enhanced Adaptive Differential Evolution Approach for Constrained Optimization Problems},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {136},
YEAR = {2023},
NUMBER = {3},
PAGES = {2841--2860},
URL = {http://www.techscience.com/CMES/v136n3/51848},
ISSN = {1526-1506},
ABSTRACT = {Effective constrained optimization algorithms have been proposed for engineering problems recently. It is common to consider constraint violation and optimization algorithm as two separate parts. In this study, a <i>p</i>best selection mechanism is proposed to integrate the current mutation strategy in constrained optimization problems. Based on the improved <i>p</i>best selection method, an adaptive differential evolution approach is proposed, which helps the population jump out of the infeasible region. If all the individuals are infeasible, the top 5% of infeasible individuals are selected. In addition, a modified truncated ε-level method is proposed to avoid trapping in infeasible regions. The proposed adaptive differential evolution approach with an improved ε constraint process mechanism (IεJADE) is examined on CEC 2006 and CEC 2010 constrained benchmark function series. Besides, a standard IEEE-30 bus test system is studied on the efficiency of the IεJADE. The numerical analysis verifies the IεJADE algorithm is effective in comparison with other effective algorithms.},
DOI = {10.32604/cmes.2023.027055}
}