國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Genetic programming21st European Con...

(1998 :)

Genetic programming21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Genetic programmingedited by Mauro Castelli ... [et al.].
其他題名:	21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018 : proceedings /
其他題名:	EuroGP 2018
其他作者:	Castelli, Mauro.
團體作者:
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xii, 323 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Genetic programming (Computer science)
電子資源:	http://dx.doi.org/10.1007/978-3-319-77553-1
ISBN:	9783319775531$q(electronic bk.)

Genetic programming21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018 : proceedings /
Genetic programming21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018 : proceedings /[electronic resource] :EuroGP 2018edited by Mauro Castelli ... [et al.]. - Cham :Springer International Publishing :2018. - xii, 323 p. :ill., digital ;24 cm. - Lecture notes in computer science,107810302-9743 ;. - Lecture notes in computer science ;4891..

Using GP Is NEAT: Evolving Compositional Pattern Production Functions -- Evolving the Topology of Large Scale Deep Neural Networks -- Evolving Graphs by Graph Programming -- Pruning Techniques for Mixed Ensembles of Genetic Programming Models -- Analyzing Feature Importance for Metabolomics Using Genetic Programming -- Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming -- On the Automatic Design of a Representation for Grammar-Based Genetic Programming -- Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks -- Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom -- Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States -- A Multiple Expression Alignment Framework for Genetic Programming -- Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions -- A Comparative Study on Crossover in Cartesian Genetic Programming -- Evolving Better RNAfold Structure Prediction -- Geometric Crossover in Syntactic Space -- Investigating A Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling -- Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming -- Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web -- Genetic Programming Hyperheuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.

This book constitutes the refereed proceedings of the 21st European Conference on Genetic Programming, EuroGP 2018, held in Parma, Italy, in April 2018, co-located with the Evo* 2018 events, EvoCOP, EvoMUSART, and EvoApplications. The 11 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics and applications including analysis of feature importance for metabolomics, semantic methods, evolution of boolean networks, generation of redundant features, ensembles of GP models, automatic design of grammatical representations, GP and neuroevolution, visual reinforcement learning, evolution of deep neural networks, evolution of graphs, and scheduling in heterogeneous networks.

ISBN: 9783319775531$q(electronic bk.)

Standard No.: 10.1007/978-3-319-77553-1doiSubjects--Topical Terms:

206263
Genetic programming (Computer science)

LC Class. No.: QA76.623

Dewey Class. No.: 006.3823

Genetic programming21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018 : proceedings /
LDR:03421nmm a2200337 a 4500 001 533485
003 DE-He213
005 20180301082104.0
006 m d
007 cr nn 008maaau
008 181205s2018 gw s 0 eng d
020 $a 9783319775531$q(electronic bk.)
020 $a 9783319775524$q(paper)
024 7 $a 10.1007/978-3-319-77553-1 $2 doi
035 $a 978-3-319-77553-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.623
072 7 $a UMB $2 bicssc
072 7 $a COM051300 $2 bisacsh
082 0 4 $a 006.3823 $2 23
090 $a QA76.623 $b .E89 2018
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Genetic programming $h [electronic resource] : $b 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018 : proceedings / $c edited by Mauro Castelli ... [et al.].
246 3 $a EuroGP 2018
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xii, 323 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10781
505 0 $a Using GP Is NEAT: Evolving Compositional Pattern Production Functions -- Evolving the Topology of Large Scale Deep Neural Networks -- Evolving Graphs by Graph Programming -- Pruning Techniques for Mixed Ensembles of Genetic Programming Models -- Analyzing Feature Importance for Metabolomics Using Genetic Programming -- Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming -- On the Automatic Design of a Representation for Grammar-Based Genetic Programming -- Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks -- Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom -- Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States -- A Multiple Expression Alignment Framework for Genetic Programming -- Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions -- A Comparative Study on Crossover in Cartesian Genetic Programming -- Evolving Better RNAfold Structure Prediction -- Geometric Crossover in Syntactic Space -- Investigating A Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling -- Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming -- Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web -- Genetic Programming Hyperheuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.
520 $a This book constitutes the refereed proceedings of the 21st European Conference on Genetic Programming, EuroGP 2018, held in Parma, Italy, in April 2018, co-located with the Evo* 2018 events, EvoCOP, EvoMUSART, and EvoApplications. The 11 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics and applications including analysis of feature importance for metabolomics, semantic methods, evolution of boolean networks, generation of redundant features, ensembles of GP models, automatic design of grammatical representations, GP and neuroevolution, visual reinforcement learning, evolution of deep neural networks, evolution of graphs, and scheduling in heterogeneous networks.
650 0 $a Genetic programming (Computer science) $3 206263
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
650 2 4 $a Arithmetic and Logic Structures. $3 276274
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Data Structures, Cryptology and Information Theory. $3 273993
700 1 $a Castelli, Mauro. $3 809158
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-77553-1
950 $a Computer Science (Springer-11645)