Optimization of electrode contour based on novel hybrid algorithm
The genetic algorithm (GA) and tabu search (TS) algorithm are well known. A novel optimization method for continuous variables of global optimization, a hybrid algorithm, is proposed, that is, the TS is embedded into the GA. It combines the advantages of both the GA and IS algorithm, possessing quicker convergence and obtaining global optimum in the highest probability. The feasibility and validity of the proposed hybrid algorithm are verified by solving the typical mathematical function, and the practicability is proved by optimizing the electrode contour. (2 pages)