Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The identification of performance-optimizing parameter settings is an important part of the development and application of algorithms.  describe an automatic framework for this algorithm configuration problem. More formally,  provide methods for optimizing a target algorithm's performance on a given class of problem instances by varying a set of ordinal and/or categorical parameters.  review a family of local-search-based algorithm configuration procedures and present novel techniques for accelerating them by adaptively limiting the time spent for evaluating individual configurations.  describe the results of a comprehensive experimental evaluation of our methods, based on the configuration of prominent complete and incomplete algorithms for SAT.  also present what is, to our knowledge, the first published work on automatically configuring the CPLEX mixed integer programming solver. All the algorithms  considered had default parameter settings that re manually identified with considerable effort. Nevertheless, using our automated algorithm configuration procedures,  achieved substantial and consistent performance improvements.
['Frank Hutter', 'Holger H. Hoos', 'Kevin Leyton-Brown', 'Thomas Stützle']
I am writing a research paper on a idea ParamILS: an automatic algorithm configuration framework
[{"from": "human", "value": "I am writing a research paper on a idea ParamILS: an automatic algorithm configuration framework"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The identification of performance-optimizing parameter settings is an important part of the development and application of algorithms.  describe an automatic framework for this algorithm configuration problem. More formally,  provide methods for optimizing a target algorithm's performance on a given class of problem instances by varying a set of ordinal and/or categorical parameters.  review a family of local-search-based algorithm configuration procedures and present novel techniques for accelerating them by adaptively limiting the time spent for evaluating individual configurations.  describe the results of a comprehensive experimental evaluation of our methods, based on the configuration of prominent complete and incomplete algorithms for SAT.  also present what is, to our knowledge, the first published work on automatically configuring the CPLEX mixed integer programming solver. All the algorithms  considered had default parameter settings that re manually identified with considerable effort. Nevertheless, using our automated algorithm configuration procedures,  achieved substantial and consistent performance improvements."}]