1.1k citations · 1.5k across the 11 of their papers we have counts for
15 papers
On deploying the Artificial Sport Trainer into practice
Iztok Fister, Andres Iglesias, Akemi Galvez +2
Computational Intelligence methods for automatic generation of sport training plans in individual sport disciplines have achieved a mature phase. In order to confirm their added va…
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…
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…
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…
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…
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…