no code implementations • 17 Jan 2020 • Iztok Fister Jr., Suash Deb, Iztok Fister
To solve the problem, the PSO-ARTM method was proposed, that consists of three steps: Text preprocessing, Association Rule Text Mining using population-based metaheuristics, and text postprocessing.
no code implementations • 27 Mar 2019 • Xin-She Yang, Suash Deb, Sudhanshu K Mishra
Traditional techniques such as gradient-based algorithms are mostly local search methods, and often struggle to cope with such challenging optimization problems.
no code implementations • 22 Apr 2018 • 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.
no code implementations • 21 Apr 2018 • Xin-She Yang, Suash Deb, Yuxin Zhao, Simon Fong, Xing-Shi He
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 challenging problems.
no code implementations • 3 Jul 2017 • Iztok Fister, Andres Iglesias, Suash Deb, Dušan Fister, Iztok Fister Jr
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 the athlete with the known personal best result.
no code implementations • 9 May 2017 • Iztok Fister Jr., Dušan Fister, Suash Deb, Uroš Mlakar, Janez Brest, Iztok Fister
This paper proposes an automatic making up for the deficit by using a Differential Evolution algorithm.
no code implementations • 22 Aug 2014 • Xin-She Yang, Suash Deb, Simon Fong
The efficiency of any metaheuristic algorithm largely depends on the way of balancing local intensive exploitation and global diverse exploration.
no code implementations • 22 Aug 2014 • Xin-She Yang, Suash Deb
Cuckoo search (CS) is a relatively new algorithm, developed by Yang and Deb in 2009, and CS is efficient in solving global optimization problems.
1 code implementation • 8 Mar 2010 • Xin-She Yang, Suash Deb
In this paper, we intend to formulate a new metaheuristic algorithm, called Cuckoo Search (CS), for solving optimization problems.
Optimization and Control optimization and control
