Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
15456 | 712 | 28.9 | 27% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
1 | 4 | ECONOMICS//EDUCATION & EDUCATIONAL RESEARCH//PSYCHOL | 3876184 |
532 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//REINFORCEMENT LEARNING//ICCA JOURNAL | 19644 |
1047 | 2 | ICCA JOURNAL//REINFORCEMENT LEARNING//ICGA JOURNAL | 10100 |
15456 | 1 | GENETIC PROGRAMMING//GENETIC PROGRAMMING AND EVOLVABLE MACHINES//BIOCOMP DEV SYST GRP | 712 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | GENETIC PROGRAMMING | authKW | 1443258 | 30% | 16% | 216 |
2 | GENETIC PROGRAMMING AND EVOLVABLE MACHINES | journal | 720191 | 7% | 32% | 52 |
3 | BIOCOMP DEV SYST GRP | address | 347370 | 1% | 90% | 9 |
4 | GENETIC PROGRAMMING GP | authKW | 329050 | 4% | 28% | 27 |
5 | GRAMMATICAL EVOLUTION | authKW | 303537 | 3% | 37% | 19 |
6 | SYMBOLIC REGRESSION | authKW | 184422 | 3% | 22% | 20 |
7 | SNAKEBOT | authKW | 137232 | 1% | 80% | 4 |
8 | EVOLVING EVOLUTIONARY ALGORITHMS | authKW | 128656 | 0% | 100% | 3 |
9 | PARALLEL GENETIC PROGRAMMING | authKW | 128656 | 0% | 100% | 3 |
10 | NOVA IMS | address | 115892 | 1% | 27% | 10 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 43802 | 64% | 0% | 458 |
2 | Computer Science, Theory & Methods | 29982 | 56% | 0% | 400 |
3 | Computer Science, Software Engineering | 4109 | 18% | 0% | 127 |
4 | Computer Science, Interdisciplinary Applications | 1555 | 13% | 0% | 93 |
5 | Computer Science, Cybernetics | 960 | 4% | 0% | 25 |
6 | Computer Science, Information Systems | 710 | 9% | 0% | 62 |
7 | Computer Science, Hardware & Architecture | 256 | 4% | 0% | 26 |
8 | Operations Research & Management Science | 142 | 4% | 0% | 26 |
9 | Mathematical & Computational Biology | 79 | 2% | 0% | 16 |
10 | Engineering, Electrical & Electronic | 73 | 9% | 0% | 61 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | BIOCOMP DEV SYST GRP | 347370 | 1% | 90% | 9 |
2 | NOVA IMS | 115892 | 1% | 27% | 10 |
3 | DIPARTIMENTO INFORMAT SISTEMIST COMUNICAZ DISCO | 102918 | 1% | 40% | 6 |
4 | EVOVIS PROJECT | 96491 | 0% | 75% | 3 |
5 | PROYECTO EVOVIS | 96491 | 0% | 75% | 3 |
6 | IMAGE VIS ENGN | 85767 | 1% | 50% | 4 |
7 | TREE | 68612 | 1% | 40% | 4 |
8 | ISEGI | 67104 | 2% | 13% | 12 |
9 | VIS INFORMAT ENGN GRP | 64325 | 0% | 50% | 3 |
10 | ARTIFICIAL EVOLUT GRP | 57179 | 0% | 67% | 2 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | GENETIC PROGRAMMING AND EVOLVABLE MACHINES | 720191 | 7% | 32% | 52 |
2 | EVOLUTIONARY COMPUTATION | 100374 | 5% | 7% | 33 |
3 | IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION | 84140 | 6% | 5% | 41 |
4 | LECTURE NOTES IN COMPUTER SCIENCE | 23236 | 31% | 0% | 219 |
5 | SOFT COMPUTING | 13376 | 4% | 1% | 26 |
6 | MEMETIC COMPUTING | 6786 | 1% | 4% | 4 |
7 | SWARM AND EVOLUTIONARY COMPUTATION | 3847 | 1% | 2% | 4 |
8 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 3138 | 5% | 0% | 35 |
9 | NATURAL COMPUTING | 2960 | 1% | 1% | 5 |
10 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2124 | 1% | 1% | 10 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | VANNESCHI, L , CASTELLI, M , SILVA, S , (2014) A SURVEY OF SEMANTIC METHODS IN GENETIC PROGRAMMING.GENETIC PROGRAMMING AND EVOLVABLE MACHINES. VOL. 15. ISSUE 2. P. 195 -214 | 23 | 88% | 14 |
2 | KOUCHAKPOUR, P , ZAKNICH, A , BRAUNL, T , (2009) A SURVEY AND TAXONOMY OF PERFORMANCE IMPROVEMENT OF CANONICAL GENETIC PROGRAMMING.KNOWLEDGE AND INFORMATION SYSTEMS. VOL. 21. ISSUE 1. P. 1 -39 | 31 | 65% | 6 |
3 | ESPEJO, PG , VENTURA, S , HERRERA, F , (2010) A SURVEY ON THE APPLICATION OF GENETIC PROGRAMMING TO CLASSIFICATION.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS. VOL. 40. ISSUE 2. P. 121 -144 | 32 | 44% | 130 |
4 | DABHI, VK , CHAUDHARY, S , (2015) EMPIRICAL MODELING USING GENETIC PROGRAMMING: A SURVEY OF ISSUES AND APPROACHES.NATURAL COMPUTING. VOL. 14. ISSUE 2. P. 303 -330 | 18 | 86% | 1 |
5 | O'NEILL, M , VANNESCHI, L , GUSTAFSON, S , BANZHAF, W , (2010) OPEN ISSUES IN GENETIC PROGRAMMING.GENETIC PROGRAMMING AND EVOLVABLE MACHINES. VOL. 11. ISSUE 3-4. P. 339 -363 | 22 | 69% | 38 |
6 | NAG, K , PAL, NR , (2016) A MULTIOBJECTIVE GENETIC PROGRAMMING-BASED ENSEMBLE FOR SIMULTANEOUS FEATURE SELECTION AND CLASSIFICATION.IEEE TRANSACTIONS ON CYBERNETICS. VOL. 46. ISSUE 2. P. 499 -510 | 23 | 42% | 3 |
7 | DOWNEY, C , ZHANG, MJ , LIU, J , (2012) PARALLEL LINEAR GENETIC PROGRAMMING FOR MULTI-CLASS CLASSIFICATION.GENETIC PROGRAMMING AND EVOLVABLE MACHINES. VOL. 13. ISSUE 3. P. 275 -304 | 14 | 88% | 1 |
8 | GARDNER, MA , GAGNE, C , PARIZEAU, M , (2015) CONTROLLING CODE GROWTH BY DYNAMICALLY SHAPING THE GENOTYPE SIZE DISTRIBUTION.GENETIC PROGRAMMING AND EVOLVABLE MACHINES. VOL. 16. ISSUE 4. P. 455 -498 | 15 | 75% | 1 |
9 | MCKAY, RI , NGUYEN, XH , WHIGHAM, PA , SHAN, Y , O'NEILL, M , (2010) GRAMMAR-BASED GENETIC PROGRAMMING: A SURVEY.GENETIC PROGRAMMING AND EVOLVABLE MACHINES. VOL. 11. ISSUE 3-4. P. 365 -396 | 18 | 60% | 56 |
10 | HE, P , DENG, ZL , WANG, HF , LIU, ZS , (2016) MODEL APPROACH TO GRAMMATICAL EVOLUTION: THEORY AND CASE STUDY.SOFT COMPUTING. VOL. 20. ISSUE 9. P. 3537 -3548 | 15 | 65% | 0 |
Classes with closest relation at Level 1 |