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Improving EA Performance on Maximizing Functional Test Coverage of ASICs Using Adaptation of the Fitness Criteria

Adaptation of the fitness criteria can be a very powerful tool enhancing the feedback scheme employed in standard evolutionary algorithms. When the problem EA is trying to solve is changing over time, the fitness criteria needs to change to adapt to the new problem. Significant performance improvements are possible with feedback based adaptation schemes. This work outlines the results of an adaptation scheme applied to the maximization of the functional test coverage problem.