Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
12564 | 897 | 25.9 | 32% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
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 | RUNTIME ANALYSIS | authKW | 1468498 | 7% | 68% | 63 |
2 | EVOLUTIONARY COMPUTATION | journal | 1089398 | 14% | 26% | 122 |
3 | ESTIMATION OF DISTRIBUTION ALGORITHMS | authKW | 693304 | 8% | 30% | 68 |
4 | LINKAGE LEARNING | authKW | 364708 | 2% | 71% | 15 |
5 | LS 2 | address | 283665 | 1% | 83% | 10 |
6 | RANDOMIZED SEARCH HEURISTICS | authKW | 275724 | 1% | 90% | 9 |
7 | BLACK BOX COMPLEXITY | authKW | 242062 | 1% | 89% | 8 |
8 | EXPECTED OPTIMIZATION TIME | authKW | 204241 | 1% | 100% | 6 |
9 | COMP SCI 11 | address | 189103 | 1% | 56% | 10 |
10 | RUNNING TIME ANALYSIS | authKW | 185327 | 1% | 78% | 7 |
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, Theory & Methods | 38240 | 57% | 0% | 507 |
2 | Computer Science, Artificial Intelligence | 21214 | 40% | 0% | 360 |
3 | Computer Science, Software Engineering | 973 | 8% | 0% | 72 |
4 | Computer Science, Cybernetics | 881 | 3% | 0% | 27 |
5 | Computer Science, Information Systems | 620 | 7% | 0% | 66 |
6 | Computer Science, Interdisciplinary Applications | 410 | 6% | 0% | 57 |
7 | Mathematics, Applied | 279 | 8% | 0% | 74 |
8 | Operations Research & Management Science | 123 | 3% | 0% | 28 |
9 | Computer Science, Hardware & Architecture | 94 | 2% | 0% | 19 |
10 | Statistics & Probability | 69 | 3% | 0% | 24 |
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 | LS 2 | 283665 | 1% | 83% | 10 |
2 | COMP SCI 11 | 189103 | 1% | 56% | 10 |
3 | ILLINOIS GENET ALGORITHMS | 170181 | 2% | 33% | 15 |
4 | FB INFORMAT | 162697 | 3% | 15% | 31 |
5 | GENET ALGORITHMS | 76589 | 0% | 75% | 3 |
6 | CCB 320 | 68080 | 0% | 100% | 2 |
7 | ILLINOIS GAL | 68080 | 0% | 100% | 2 |
8 | RANDOM GR H | 68080 | 0% | 100% | 2 |
9 | REAL WORLD COMP PARTNERSHIP THEORET FDN GMD | 68080 | 0% | 100% | 2 |
10 | CERCIA | 57647 | 1% | 14% | 12 |
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 | EVOLUTIONARY COMPUTATION | 1089398 | 14% | 26% | 122 |
2 | IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION | 178389 | 7% | 8% | 67 |
3 | THEORETICAL COMPUTER SCIENCE | 17802 | 8% | 1% | 75 |
4 | LECTURE NOTES IN COMPUTER SCIENCE | 15899 | 23% | 0% | 204 |
5 | GENETIC PROGRAMMING AND EVOLVABLE MACHINES | 10347 | 1% | 4% | 7 |
6 | ALGORITHMICA | 9270 | 3% | 1% | 25 |
7 | NATURAL COMPUTING | 3383 | 1% | 2% | 6 |
8 | SOFT COMPUTING | 2639 | 1% | 1% | 13 |
9 | ARTIFICIAL INTELLIGENCE | 2498 | 1% | 1% | 13 |
10 | INFORMATION SCIENCES | 2129 | 2% | 0% | 22 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | RUNTIME ANALYSIS | 1468498 | 7% | 68% | 63 | Search RUNTIME+ANALYSIS | Search RUNTIME+ANALYSIS |
2 | ESTIMATION OF DISTRIBUTION ALGORITHMS | 693304 | 8% | 30% | 68 | Search ESTIMATION+OF+DISTRIBUTION+ALGORITHMS | Search ESTIMATION+OF+DISTRIBUTION+ALGORITHMS |
3 | LINKAGE LEARNING | 364708 | 2% | 71% | 15 | Search LINKAGE+LEARNING | Search LINKAGE+LEARNING |
4 | RANDOMIZED SEARCH HEURISTICS | 275724 | 1% | 90% | 9 | Search RANDOMIZED+SEARCH+HEURISTICS | Search RANDOMIZED+SEARCH+HEURISTICS |
5 | BLACK BOX COMPLEXITY | 242062 | 1% | 89% | 8 | Search BLACK+BOX+COMPLEXITY | Search BLACK+BOX+COMPLEXITY |
6 | EXPECTED OPTIMIZATION TIME | 204241 | 1% | 100% | 6 | Search EXPECTED+OPTIMIZATION+TIME | Search EXPECTED+OPTIMIZATION+TIME |
7 | RUNNING TIME ANALYSIS | 185327 | 1% | 78% | 7 | Search RUNNING+TIME+ANALYSIS | Search RUNNING+TIME+ANALYSIS |
8 | BAYESIAN OPTIMIZATION ALGORITHM | 179069 | 1% | 48% | 11 | Search BAYESIAN+OPTIMIZATION+ALGORITHM | Search BAYESIAN+OPTIMIZATION+ALGORITHM |
9 | WALSH ANALYSIS | 155605 | 1% | 57% | 8 | Search WALSH+ANALYSIS | Search WALSH+ANALYSIS |
10 | PROGRESS RATE | 153178 | 1% | 75% | 6 | Search PROGRESS+RATE | Search PROGRESS+RATE |
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 | HAUSCHILD, M , PELIKAN, M , (2011) AN INTRODUCTION AND SURVEY OF ESTIMATION OF DISTRIBUTION ALGORITHMS.SWARM AND EVOLUTIONARY COMPUTATION. VOL. 1. ISSUE 3. P. 111 -128 | 27 | 73% | 77 |
2 | ZHOU, D , LUO, D , LU, RQ , HAN, ZG , (2012) THE USE OF TAIL INEQUALITIES ON THE PROBABLE COMPUTATIONAL TIME OF RANDOMIZED SEARCH HEURISTICS.THEORETICAL COMPUTER SCIENCE. VOL. 436. ISSUE . P. 106 -117 | 25 | 89% | 4 |
3 | ZHANG, YS , HU, GW , (2015) AN ANALYTICAL FRAMEWORK FOR RUNTIME OF A CLASS OF CONTINUOUS EVOLUTIONARY ALGORITHMS.COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE. VOL. . ISSUE . P. - | 25 | 83% | 0 |
4 | ZHANG, YS , HUANG, H , HAO, ZF , HU, GW , (2016) FIRST HITTING TIME ANALYSIS OF CONTINUOUS EVOLUTIONARY ALGORITHMS BASED ON AVERAGE GAIN.CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS. VOL. 19. ISSUE 3. P. 1323 -1332 | 21 | 84% | 0 |
5 | SUDHOLT, D , (2013) A NEW METHOD FOR LOWER BOUNDS ON THE RUNNING TIME OF EVOLUTIONARY ALGORITHMS.IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. VOL. 17. ISSUE 3. P. 418-435 | 17 | 94% | 22 |
6 | LARRANAGA, P , KARSHENAS, H , BIELZA, C , SANTANA, R , (2012) A REVIEW ON PROBABILISTIC GRAPHICAL MODELS IN EVOLUTIONARY COMPUTATION.JOURNAL OF HEURISTICS. VOL. 18. ISSUE 5. P. 795 -819 | 26 | 65% | 9 |
7 | CHEN, TS , TANG, K , CHEN, GL , YAO, X , (2010) ANALYSIS OF COMPUTATIONAL TIME OF SIMPLE ESTIMATION OF DISTRIBUTION ALGORITHMS.IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. VOL. 14. ISSUE 1. P. 1-22 | 18 | 90% | 25 |
8 | MOTOKI, T , (2010) A NEW METHOD FOR MODELING THE BEHAVIOR OF FINITE POPULATION EVOLUTIONARY ALGORITHMS.EVOLUTIONARY COMPUTATION. VOL. 18. ISSUE 3. P. 451 -489 | 18 | 95% | 1 |
9 | YU, Y , QIAN, C , ZHOU, ZH , (2015) SWITCH ANALYSIS FOR RUNNING TIME ANALYSIS OF EVOLUTIONARY ALGORITHMS.IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. VOL. 19. ISSUE 6. P. 777 -792 | 16 | 89% | 3 |
10 | WITT, C , (2008) POPULATION SIZE VERSUS RUNTIME OF A SIMPLE EVOLUTIONARY ALGORITHM.THEORETICAL COMPUTER SCIENCE. VOL. 403. ISSUE 1. P. 104-120 | 17 | 100% | 18 |
Classes with closest relation at Level 1 |