東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Handbook of genetic programming appl...

Gandomi, Amir H.

FindBook

Google Book

Amazon

博客來

Handbook of genetic programming applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of genetic programming applications/ edited by Amir H. Gandomi, Amir H. Alavi, Conor Ryan.
其他作者:	Gandomi, Amir H.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xi, 593 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Genetic algorithms. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-20883-1
ISBN:	9783319208831

Handbook of genetic programming applications
Handbook of genetic programming applications[electronic resource] /edited by Amir H. Gandomi, Amir H. Alavi, Conor Ryan. - Cham :Springer International Publishing :2015. - xi, 593 p. :ill., digital ;24 cm.

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.

This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications in a variety of fields, the information in this volume can help optimize computer programs throughout the sciences. Taking a hands-on approach, this book provides an invaluable reference to practitioners, providing the necessary details required for a successful application of GP and its branches to challenging problems ranging from drought prediction to trading volatility. It also demonstrates the evolution of GP through major developments in GP studies and applications. It is suitable for advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas, as well as experienced practitioners looking to apply GP to new areas. The book also offers valuable supplementary material for design courses and computation in engineering.

ISBN: 9783319208831

Standard No.: 10.1007/978-3-319-20883-1doiSubjects--Topical Terms:

533907
Genetic algorithms.

LC Class. No.: QA402.5

Dewey Class. No.: 519.3

Handbook of genetic programming applications
LDR:04015nmm a2200325 a 4500 001 2013062
003 DE-He213
005 20160422100326.0
006 m d
007 cr nn 008maaau
008 160518s2015 gw s 0 eng d
020 $a 9783319208831 $q (electronic bk.)
020 $a 9783319208824 $q (paper)
024 7 $a 10.1007/978-3-319-20883-1 $2 doi
035 $a 978-3-319-20883-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 519.3 $2 23
090 $a QA402.5 $b .H236 2015
245 0 0 $a Handbook of genetic programming applications $h [electronic resource] / $c edited by Amir H. Gandomi, Amir H. Alavi, Conor Ryan.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xi, 593 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications in a variety of fields, the information in this volume can help optimize computer programs throughout the sciences. Taking a hands-on approach, this book provides an invaluable reference to practitioners, providing the necessary details required for a successful application of GP and its branches to challenging problems ranging from drought prediction to trading volatility. It also demonstrates the evolution of GP through major developments in GP studies and applications. It is suitable for advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas, as well as experienced practitioners looking to apply GP to new areas. The book also offers valuable supplementary material for design courses and computation in engineering.
650 0 $a Genetic algorithms. $3 533907
650 0 $a Application software $x Development. $3 539563
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Gandomi, Amir H. $3 2162379
700 1 $a Alavi, Amir H. $3 2162380
700 1 $a Ryan, Conor. $3 2162381
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-20883-1
950 $a Computer Science (Springer-11645)