Testability Optimal Allocation Method Based on Improved Whale Optimisation Algorithm
The traditional testability assignment method can not solve the multi-objective optimization problem.Therefore,a whale optimization algorithm based on adaptive weights(SIN-WOA)is proposed to solve the problem of minimum cost under various influencing factors by combining the cost function and allocation model.By increasing the adaptive weight coefficient,the local opti-mization ability of the algorithm is enhanced and the convergence speed is improved.Finally,a practical case is selected to determine the weight value and coefficient of each influencing factor by comprehensive weighted distribution method,and fault detection rate(FDR)is selected for index distribution and comparison.The results show that the improved whale optimization algorithm can solve the multi-objective optimization problem,the convergence speed is fast and the solving precision is high.
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