Titlebook: Genetic Programming Theory and Practice; Rick Riolo,Bill Worzel Book 2003 Springer Science+Business Media New York 2003 algorithms.circuit

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What Makes a Problem GP-Hard?,g to solve?” It specifically describes linkages between content, tree structures, and problem difficulty in genetic programming. It focuses on the significance of structure in influencing problem difficulty.

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Industrial Strength Genetic Programming,ing at Dow Chemical. Herein we review the role of symbolic regression within an integrated empirical modeling methodology, discuss symbolic regression system design issues, best practices and lessons learned from industrial application, and present future directions for research and application

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A Probabilistic Model of Size Drift,arly in time, and its variation shows the trademark of a .Drift to increasing size manifest s if search biases favor boundary conditions. We present experimental results with both the implementation of the theoretical model and a standard genetic programming algorithm. Statistical results with the t

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