Briefing: Method for electronics optimisation using a suite of fast specialist optimisation scenarios produced via an evolutionary algorithm

4 The Prototype System 8 4.1 Performance evaluation. . . . . . . . . . . . . . . . . . . . . . . . 8 4.2 Technology Independent Optimisation . . . . . . . . . . . . . . . 9 4.3 Details of the Operation Phase: Single-stepping, Iteration, and Sequential Execution . . . . . . . . . . . . . . . . . . . . . . . . . 18 4.4 Example of co-adaptation with other phases of optimisation: technology dependent optimisation . . . . . . . . . . . . . . . . . . . 20 4.5 General Observations From The Prototype . . . . . . . . . . . . 20 4.5.1 A Priori Reasons why standard SIS scripts may be improved upon through evolutionary methods . . . . . . . . 21 4.5.2 Some experimental observations on the evolution of SIS scripts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.6 Some Details of the Evolutionary Algorithm . . . . . . . . . . . . 22