摘要：We present a chaotic hybrid invasive weed optimization (CHIWO) algorithm with an adaptive penalty function which is introduced to solve the constraints for solving the machinery optimizing problems. The proposed CHIWO algorithm runs consistently well on the studies of 13 Benchmark functions and 3 machinery optimizing problems. Experimental results indicate that CHIWO algorithm is a simple and efficient method which can improve the performance of invasive weed optimization (IWO) in terms of computing accuracy and robustness.
