Integration of Models of Adaptive Behavior of Ant and Bee Colony

Author(s):  
Boris K. Lebedev ◽  
Oleg B. Lebedev ◽  
Elena M. Lebedeva ◽  
Andrey I. Kostyuk
Keyword(s):  
2020 ◽  
Vol 51 (4) ◽  
pp. 1139-1155
Author(s):  
Jenny M. Burton ◽  
Nancy A. Creaghead ◽  
Noah Silbert ◽  
Allison Breit-Smith ◽  
Amie W. Duncan ◽  
...  

Purpose The purpose of this study was to characterize social communication and structural language of school-age girls with high-functioning autism spectrum disorder (HF-ASD) compared to a matched group of girls who are typically developing (TD). Method Participants were 37 girls between 7;5 and 15;2 (years;months)—18 HF-ASD and 19 TD. Children completed the Test of Pragmatic Language–Second Edition (TOPL-2) and Clinical Evaluation of Language Fundamentals–Fifth Edition. Parents completed the Children's Communication Checklist–2 United States Edition (CCC-2) and Receptive and Expressive Communication subdomains of the Vineland Adaptive Behavior Scales–Second Edition. Results In the area of social communication, girls with HF-ASD earned significantly lower scores and were more often classified as having an impairment on the TOPL-2 and the CCC-2. However, 28% and 33% earned average scores on the TOPL-2 and the CCC-2, respectively. In the area of structural language, no significant differences were found between groups on Clinical Evaluation of Language Fundamentals–Fifth Edition indexes. In contrast, girls with HF-ASD earned significantly lower scores and were more often classified as having an impairment on the Vineland Adaptive Behavior Scales–Second Edition. Sixty-one percent and 83% scored below average on the Receptive and Expressive Communication subdomains, respectively. Conclusions It has been argued that girls with HF-ASD, when compared to boys with HF-ASD, may have advantages for social communication and structural language that mask their impairments. However, when compared to girls who are TD, girls with HF-ASD demonstrated impaired social communication and structural language. Clinicians should include and carefully examine multiple sources of information when assessing girls with HF-ASD.


1990 ◽  
Author(s):  
Judy Howard ◽  
◽  
Leila Beckwith ◽  
Carol Rodning
Keyword(s):  

2010 ◽  
Author(s):  
Rebecca D. Stinson ◽  
Zachary Sussman ◽  
Megan Foley Nicpon ◽  
Allison L. Allmon ◽  
Courtney Cornick ◽  
...  

2012 ◽  
Author(s):  
Shirley Zeitlin ◽  
G. Gordon Williamson ◽  
Margery Szczepanski

2019 ◽  
Vol 2 (3) ◽  
pp. 508-517
Author(s):  
FerdaNur Arıcı ◽  
Ersin Kaya

Optimization is a process to search the most suitable solution for a problem within an acceptable time interval. The algorithms that solve the optimization problems are called as optimization algorithms. In the literature, there are many optimization algorithms with different characteristics. The optimization algorithms can exhibit different behaviors depending on the size, characteristics and complexity of the optimization problem. In this study, six well-known population based optimization algorithms (artificial algae algorithm - AAA, artificial bee colony algorithm - ABC, differential evolution algorithm - DE, genetic algorithm - GA, gravitational search algorithm - GSA and particle swarm optimization - PSO) were used. These six algorithms were performed on the CEC’17 test functions. According to the experimental results, the algorithms were compared and performances of the algorithms were evaluated.


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