Journal of Global Optimization
Constraint satisfaction problems solved by semidefinite relaxations
WSEAS Transactions on Computers
Global optimization using hybrid approach
WSEAS Transactions on Mathematics
Chaotic bee swarm optimization algorithm for path planning of mobile robots
EC'09 Proceedings of the 10th WSEAS international conference on evolutionary computing
Nature-Inspired Metaheuristic Algorithms
Nature-Inspired Metaheuristic Algorithms
Computational intelligence-based personalization of interactive web systems
WSEAS Transactions on Information Science and Applications
A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences: an International Journal
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This paper presents an object-oriented software system that implements a cuckoo search (CS) metaheuristic for unconstrained optimization problems. Yang and Deb developed cuckoo search algorithm in MATLAB and tested it on some standard benchmark functions as well as on some engineering optimization problems where it showed promising results. We developed our algorithm in JAVA programming language which is faster and easier for maintenance since it is object-oriented. The application includes user friendly graphical user interface (GUI) and it was successfully tested on standard benchmark functions for unconstrained problems.