A simulated annealing algorithm for the clustering problem
Pattern Recognition
Data mining: concepts and techniques
Data mining: concepts and techniques
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Journal of Global Optimization
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Parameter Tuning for the Artificial Bee Colony Algorithm
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
An artificial bee colony approach for clustering
Expert Systems with Applications: An International Journal
Discrete and continuous optimization based on multi-swarm coevolution
Natural Computing: an international journal
A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Applied Soft Computing
A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
Applied Soft Computing
Information Sciences: an International Journal
A hybrid swarm intelligent method based on genetic algorithm and artificial bee colony
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A powerful hybrid clustering method based on modified stem cells and Fuzzy C-means algorithms
Engineering Applications of Artificial Intelligence
Artificial bee colony algorithm: a survey
International Journal of Advanced Intelligence Paradigms
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Data clustering is a popular data analysis technique needed in many fields. Recent years, some swarm intelligence-based approaches for clustering were proposed and achieved encouraging results. This paper presents a Hybrid Artificial Bee Colony (HABC) algorithm for data clustering. The incentive mechanism of HABC is enhancing the information exchange (social learning) between bees by introducing the crossover operator of Genetic Algorithm (GA) to ABC. With a test on ten benchmark functions, the proposed HABC algorithm is proved to have significant improvement over canonical ABC and several other comparison algorithms. The HABC algorithm is then employed for data clustering. Six real datasets selected from the UCI machine learning repository are used. The results show that the HABC algorithm achieved better results than other algorithms and is a competitive approach for data clustering.