document: Detection of flaws in composites from scattered elastic-wave field using an improved mu GA and a local optimizer An effective technique for flaw detection of composites is proposed . In this technique , the detection problem is formulated as an optimization problem minimizing the difference between the measured and calculated surface displacement response derived from scattered elastic-wave fields . A combined optimization technique using an improved mu GA and a local optimizer is developed to solve the optimization problem so as to obtain the flaw parameters defining flaw configurations . Guidelines for implementing the detection technique , including formulation of the objective function of the optimization problem using different error norms , improvement of mu GA convergence performance , switching from mu GA to local optimizer in the optimization process , and suppression of the effect of noise on detection results , are addressed in detail . Numerical examples are presented to demonstrate the effectiveness and efficiency of the proposed detection technique
doc_bio_tags: O O O O B O O O O O O B I I O O B I O O O O B I O B O O O O O O O O O O O O O O B I O O O O O O O O B I I O O O O O O O O O O O O B I I O O B I O O O O O B I O O O O O O O O B I O O O O O O O O O O O O B I O O B I O O B I O O O O O B O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: flaw detection composites improved mu ga local optimizer optimization problem surface displacement response flaw configurations objective function error norms convergence
abstractive_keyphrases: scattered elastic-wave field noise effect suppression