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- Middlesex University DubaiAE3 papers
- Xi'an Polytechnic UniversityCN3 papers
- Middlesex University MaltaMT2 papers
- Reykjavík UniversityIS2 papers
- University of MariborSI2 papers
- UNSW SydneyAU2 papers
- Beijing University of Posts and TelecommunicationsCN1 paper
- China Medical UniversityTW1 paper
- China Medical University HospitalTW1 paper
- Complexity Science HubAT1 paper
- COMSATS University IslamabadPK1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
8 papers · 1 filter
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…
Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods
Geethu Joy, Christian Huyck, Xin-She Yang
Almost all optimization algorithms have algorithm-dependent parameters, and the setting of such parameter values can significantly influence the behavior of the algorithm under con…
Nature-Inspired Algorithms in Optimization: Introduction, Hybridization and Insights
Xin-She Yang
Many problems in science and engineering are optimization problems, which may require sophisticated optimization techniques to solve. Nature-inspired algorithms are a class of meta…
A Nature-Inspired Feature Selection Approach based on Hypercomplex Information
Gustavo H. de Rosa, João Paulo Papa, Xin-She Yang
Feature selection for a given model can be transformed into an optimization task. The essential idea behind it is to find the most suitable subset of features according to some cri…
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…
Random-Key Cuckoo Search for the Travelling Salesman Problem
Aziz Ouaarab, B. Ahiod, Xin-She Yang
Combinatorial optimization problems are typically NP-hard, and thus very challenging to solve. In this paper, we present the random key cuckoo search (RKCS) algorithm for solving t…