An optimizing algorithm for resources allocation in parallel test

To complete parallel test for airplane Remote Electronics Unit (REU), the initial problem which should be resolved is the resources allocation. Optimized configuration of test resources will contribute to smoothing the implementation of task scheduling, which in turn improves the efficiency of the test. Close analysis of constraint relations between resources and test tasks, and with global heuristic optimal capability of Genetic Algorithm (GA), the overall optimal solution of test resources to a certain UUT can be calculated. At the same time, resources configuration ratio is set up which create the premise for achieving high-performance test. In the end, combining with the simulation of a certain type REU, a stable overall optimal solution is obtained which verifies the validity and feasibility of the algorithm.