The dynamics of collective sorting robot-like ants and ant-like robots
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Diversity and adaptation in populations of clustering ants
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Ant algorithms for discrete optimization
Artificial Life
Swarm intelligence
Distributed Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Improved Ant-Based Clustering and Sorting
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Ant Colony Optimization
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Introducing dynamic diversity into a discrete particle swarm optimization
Computers and Operations Research
Finding groups in data: Cluster analysis with ants
Applied Soft Computing
Review: A review of ant algorithms
Expert Systems with Applications: An International Journal
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
Computers and Operations Research
An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis
Applied Soft Computing
Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
Computers and Operations Research
An improved GA and a novel PSO-GA-based hybrid algorithm
Information Processing Letters
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
Computational Optimization and Applications
An analysis of communication policies for homogeneous multi-colony ACO algorithms
Information Sciences: an International Journal
Designing fuzzy-rule-based systems using continuous ant-colony optimization
IEEE Transactions on Fuzzy Systems
An ACO-based algorithm for parameter optimization of support vector machines
Expert Systems with Applications: An International Journal
Two hybrid differential evolution algorithms for engineering design optimization
Applied Soft Computing
Recurrent fuzzy system design using elite-guided continuous ant colony optimization
Applied Soft Computing
Particle swarm optimization with selective particle regeneration for data clustering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
The fully informed particle swarm: simpler, maybe better
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Ant colony optimization (ACO) and particle swarm optimization (PSO) are two popular algorithms in swarm intelligence. Recently, a continuous ACO named ACOR was developed to solve the continuous optimization problems. This study incorporated ACOR with PSO to improve the search ability, investigating four types of hybridization as follows: (1) sequence approach, (2) parallel approach, (3) sequence approach with an enlarged pheromone-particle table, and (4) global best exchange. These hybrid systems were applied to data clustering. The experimental results utilizing public UCI datasets show that the performances of the proposed hybrid systems are superior compared to those of the K-mean, standalone PSO, and standalone ACOR. Among the four strategies of hybridization, the sequence approach with the enlarged pheromone table is superior to the other approaches because the enlarged pheromone table diversifies the generation of new solutions of ACOR and PSO, which prevents traps into the local optimum.