Handbook of Genetic Programming Applications

ISBN-13: 9783319363134 / Angielski / Miękka / 2016 / 593 str.

Amir H. Gandomi; Amir H. Alavi; Conor Ryan

Recenzje

"The editors of this handbook have done a good job in producing a consistent book despite the diversity of topics and contributions. The chapters of the book are self-contained and may be read independently of other chapters. ... I strongly recommend this handbook for engineers, practitioners, computer science researchers, and libraries. It will be suitable for advanced students for selecting research problems. It will surely help experienced practitioners seeking to apply GP to new areas." (S. V. Nagaraj, Computing Reviews, February, 2017)

Spis treści

Graph-Based Evolutionary Art.- Genetic Programming for Modelling of Geotechnical Engineering Systems.- Application of Genetic Programming in Hydrology.- Application of Gene-Expression Programming in Hydraulics Engineering.- Genetic Programming applications in Chemical Sciences and Engineering.- Application of Genetic Programming for Electrical Engineering Predictive Modeling.- Mate Choice in Evolutionary Computation.- Genetically Improved Software.- Design of Real-Time Computer-Based Systems Using Developmental Genetic Programming.- Image Classification with Genetic Programming.- On the Application of Genetic Programming for New Generation of Ground Motion Prediction Equations.- Evaluation of Liquefaction Potential of Soil Based on Shear Wave Velocity Using Multi-Gene Genetic Programming.- Site Characterization Using GP, MARS, and GPR.- Use of Genetic Programming Based Surrogate Models to Simulate Complex Geochemical Transport Processes in Contaminated Mine Sites.- Potential of Genetic Programming in Hydroclimatic Prediction of Droughts.- Application of Genetic Programming for Uniaxial and Multiaxial Modeling of Concrete.- Genetic Programming for Mining Association Rules in Relational Database Environments.- Evolving GP Classifiers for Streaming Data Tasks with Concept Change and Label Budgets.- A New Evolutionary Approach to Geotechnical and Geo-environmental Modelling.- Application of GFA-MLR and G/PLS Techniques in QSAR/QSPR Studies with Application in Medicinal Chemistry and Predictive Toxicology.- Trading Volitility using Highly Accurate Symbolic Regression.- GPTIPS 2: An Open-Source Software Platform for Symbolic Data Mining.- eCrash: A Genetic Programming-Based Testing Tool for Object-Oriented Software.