1.7k citations · 14k across the 89 of their papers we have counts for
90 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…
DFRC Systems Co-existing in Licensed Spectrum: Cognitive Beamforming Designs
Tuan Anh Le, Ivan Ku, Xin-She Yang +2
This paper introduces a dual-function radar-communication (DFRC) system with cognitive radio capability to tackle the spectral scarcity problem in wireless communications. Particul…
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…
A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data
Jinyan Li, Yaoyang Wu, Simon Fong +4
Ensemble technique and under-sampling technique are both effective tools used for imbalanced dataset classification problems. In this paper, a novel ensemble method combining the a…
Firefly Algorithm for Movable Antenna Arrays
Manh Kha Hoang, Tuan Anh Le, Kieu-Xuan Thuc +3
This letter addresses a multivariate optimization problem for linear movable antenna arrays (MAAs). Particularly, the position and beamforming vectors of the under-investigated MAA…
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…