{"product_id":"genetic-programming-theory-and-practice-xiv-9783319970875","title":"Genetic Programming Theory and Practice XIV","description":"\u003cp\u003e • Author(s): Rick Riolo\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThese contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Chapters in this volume include: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSimilarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHybrid Structural and Behavioral Diversity Methods in GP\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMulti-Population Competitive Coevolution for Anticipation of Tax Evasion\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eEvolving Artificial General Intelligence for Video Game Controllers\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eA Detailed Analysis of a PushGP Run\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eLinear Genomes for Structured Programs\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eNeutrality, Robustness, and Evolvability in GP\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eLocal Search in GP\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ePRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eRelational Structure in Program Synthesis Problems with Analogical Reasoning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAn Evolutionary Algorithm for Big Data Multi-Class Classification Problems\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eA Generic Framework for Building Dispersion Operators in the Semantic Space\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAssisting Asset Model Development with Evolutionary Augmentation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBuilding Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eReaders will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.\u003c\/p\u003e\u003cbr\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45275369701527,"sku":"9783319970875","price":3639.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319970875.webp?v=1769282712","url":"https:\/\/atlanticbooks.com\/products\/genetic-programming-theory-and-practice-xiv-9783319970875","provider":"Atlantic Books","version":"1.0","type":"link"}