activity
20172021
most citedMulti-Species Cuckoo Search Algorithm for Global Optimization

40 citations · 42 across the 2 of their papers we have counts for

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6 papers · 1 filter

cs.NE2020

Population-based metaheuristics for Association Rule Text Mining

Iztok Fister, Suash Deb

Nowadays, the majority of data on the Internet is held in an unstructured format, like websites and e-mails. The importance of analyzing these data has been growing day by day. Sim…

cs.NE201940 cited

Multi-Species Cuckoo Search Algorithm for Global Optimization

Xin-She Yang, Suash Deb, Sudhanshu K Mishra

Many optimization problems in science and engineering are highly nonlinear, and thus require sophisticated optimization techniques to solve. Traditional techniques such as gradient…

cs.NE2018

Cuckoo Search: State-of-the-Art and Opportunities

Xin-She Yang, Suash Deb

Since the development of cuckoo search (CS) by Yang and Deb in 2009, CS has been applied in a diverse range of applications. This paper first outlines the key features of the algor…

cs.NE2018

Swarm Intelligence: Past, Present and Future

Xin-She Yang, Suash Deb, Yuxin Zhao +2

Many optimization problems in science and engineering are challenging to solve, and the current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such chall…

cs.NE2017

Modeling preference time in middle distance triathlons

Iztok Fister, Andres Iglesias, Suash Deb +1

Modeling preference time in triathlons means predicting the intermediate times of particular sports disciplines by a given overall finish time in a specific triathlon course for th…

cs.NE20172 cited

Making up for the deficit in a marathon run

Iztok Fister, Dušan Fister, Suash Deb +2

To predict the final result of an athlete in a marathon run thoroughly is the eternal desire of each trainer. Usually, the achieved result is weaker than the predicted one due to t…