Research on Parallel Test Task Optimization Based on Hybrid Artificial Bee Colony Algorithm
Parallel testing technology can perform testing on multiple tasks simultaneously,improve resource utilization,and save testing cost;Parallel test scheduling problem is a complex combinatorial optimization problem,and it is the core element of parallel test technology;As the carrier of parallel testing technology,it is particularly important for the performance and solving efficiency of parallel testing systems;The limit theorem of parallel test completion time is studied,the mathematical model of parallel test task scheduling is established,and the shortcomings of traditional meta heuristic algorithms are analyzed to solve parallel test problems.A hybrid artificial bee colony algorithm based on the combination of the recursive search technology of dynamic programming and artifi-cial bee colony algorithm is proposed,and the precise algorithm of integer programming and genetic algorithm verify the hybrid artifi-cial bee colony algorithm;The conclusion is that the scheduling parallel testing tasks saves nearly 50％of time by using hybrid artifi-cial bee colony algorithm,it reduces about 20％of hardware resource usage,and improves testing efficiency,the algorithm can meet practical engineering applications.
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维普
