Above are papers related to the following paper: [Paper_ID] Paper #1129021. 	[Title] A NEW METHODOLOGY FOR REDUCING BRITTLENESS IN GENETIC PROGRAMMING optimized maneuvers for an extended two-dimensional [Abstract] programs were independently evolved using fixed and randomly-generated fitness cases. These programs were subsequently tested against a large, representative fixed population of pursuers to determine their relative effectiveness. This paper describes the implementation of both the original and modified systems, and summarizes the results of these tests. Please summarise all the given information.

Above are papers related to the following paper: [Paper_ID] Paper #594119. 	[Title] A Methodology for Strategy Optimization Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem [Abstract]  Please summarise all the given information.

Paper #1129021 has the title `A NEW METHODOLOGY FOR REDUCING BRITTLENESS IN GENETIC PROGRAMMING optimized maneuvers for an extended two-dimensional
` and the abstract `programs were independently evolved using fixed and randomly-generated fitness cases. These programs were subsequently tested against a large, representative fixed population of pursuers to determine their relative effectiveness. This paper describes the implementation of both the original and modified systems, and summarizes the results of these tests. 
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Question: Which category should Paper #1129021 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].


Paper #1129021 has the title `A NEW METHODOLOGY FOR REDUCING BRITTLENESS IN GENETIC PROGRAMMING optimized maneuvers for an extended two-dimensional
` and the abstract `programs were independently evolved using fixed and randomly-generated fitness cases. These programs were subsequently tested against a large, representative fixed population of pursuers to determine their relative effectiveness. This paper describes the implementation of both the original and modified systems, and summarizes the results of these tests. 
`.
Question: Which category should Paper #1129021 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].

This paper should be classified into: Genetic_Algorithms