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- University of MariborSI8 papers
- Xi'an Polytechnic UniversityCN8 papers
- Complexity Science HubAT5 papers
- China Medical UniversityTW4 papers
- China Medical University HospitalTW4 papers
- Imperial College LondonGB4 papers
- Institute of Cognitive Sciences and TechnologiesIT4 papers
- Middlesex University MaltaMT4 papers
- National Research CouncilLK4 papers
- Universidad Carlos III de MadridES4 papers
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- UNSW SydneyAU4 papers
129 papers
Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution
Xin-She Yang, Mehmet Karamanoglu
Parameter settings in evolutionary algorithms and metaheuristics are important because such parameter values can influence the performance of algorithms under evaluation. For a giv…
FACTors: A New Dataset for Studying the Fact-checking Ecosystem
Enes Altuncu, Can Başkent, Sanjay Bhattacherjee +2
Our fight against false information is spearheaded by fact-checkers. They investigate the veracity of claims and document their findings as fact-checking reports. With the rapid in…
Parameter Tuning of the Firefly Algorithm by Three Tuning Methods: Standard Monte Carlo, Quasi-Monte Carlo and Latin Hypercube Sampling Methods
Geethu Joy, Christian Huyck, Xin-She Yang
There are many different nature-inspired algorithms in the literature, and almost all such algorithms have algorithm-dependent parameters that need to be tuned. The proper setting…
Value of Information in the Mean-Square Case and its Application to the Analysis of Financial Time-Series Forecast
Roman Belavkin, Panos Pardalos, Jose Principe
The advances and development of various machine learning techniques has lead to practical solutions in various areas of science, engineering, medicine and finance. The great choice…
Enhancing Digital Forensics Readiness In Big Data Wireless Medical Networks: A Secure Decentralised Framework
Cephas Mpungu, Carlisle George, Glenford Mapp
Wireless medical networks are pivotal for chronic disease management, yet the sensitive Big Data they generate presents administration challenges and cyber vulnerability. This Big…
A Generalized Evolutionary Metaheuristic (GEM) Algorithm for Engineering Optimization
Xin-She Yang
Many optimization problems in engineering and industrial design applications can be formulated as optimization problems with highly nonlinear objectives, subject to multiple comple…