{ "item_title" : "Genetic Programming Theory and Practice IX", "item_author" : [" Rick Riolo", "Ekaterina Vladislavleva", "Jason H. Moore "], "item_description" : "What's in an evolved name? The evolution of modularity via tag-based Reference.- Let the Games Evolve .- Novelty Search and the Problem with Objectives.- A fine-grained view of phenotypes and locality in genetic programming.- Evolution of an Effective Brain-Computer Interface Mouse via Genetic Programming with Adaptive Tarpeian Bloat Control.- Improved Time Series Prediction and Symbolic Regression with Affine Arithmetic.- Computational Complexity Analysis of Genetic Programming - Initial Results and Future Directions.- Accuracy in Symbolic Regression.- Human-Computer Interaction in a Computational Evolution System for the Genetic Analysis of Cancer.- Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling.- Detecting Shadow Economy Sizes With Symbolic Regression.- The Importance of Being Flat - Studying the Program Length Distributions of Operator Equalisation.- FFX: Fast, Scalable, Deterministic Symbolic Regression Technology.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/46/142/941/1461429412_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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