Emergence of population structure in socio-cognitively inspired ant colony optimization
Computer Science, ISSN: 2300-7036, Vol: 19, Issue: 1, Page: 81-98
2018
- 1Citations
- 8Captures
- 1Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Most Recent News
Complete List of Works
Links | BibTeX @inbook{info:hdl:2013/297561, title = {Density estimation using multiscale local polynomial transforms}, author = {Maarten Jansen}, url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/297561}, year = {2020}, date =
Article Description
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cognitive inspirations, turned out to generate interesting results when compared to classic ACO. Even though it does not always find better solutions to the considered problems, it usually finds sub-optimal solutions. Moreover, instead of a trial-and-error approach to configure the parameters of the ant species in the population, the actual structure of the population emerges from a predefined species-to-species ant migration strategies in our approach. Experimental results of our approach are compared to classic ACO and selected socio-cognitive versions of this algorithm.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85045052482&origin=inward; http://dx.doi.org/10.7494/csci.2018.19.1.2594; http://journals.agh.edu.pl/csci/article/view/2594; http://journals.bg.agh.edu.pl/COMPUTER/2018.19.1/csci.2018.19.1.81.pdf; https://dx.doi.org/10.7494/csci.2018.19.1.2594; https://journals.agh.edu.pl/csci/article/view/2594
AGHU University of Science and Technology Press
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know