Learning automata: an introduction
Learning automata: an introduction
Learning automata: theory and applications
Learning automata: theory and applications
Journal of Global Optimization
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
A Fuzzy Adaptive Differential Evolution Algorithm
Soft Computing - A Fusion of Foundations, Methodologies and Applications
A new fine-grained evolutionary algorithm based on cellular learning automata
International Journal of Hybrid Intelligent Systems
Networks of Learning Automata: Techniques for Online Stochastic Optimization
Networks of Learning Automata: Techniques for Online Stochastic Optimization
Brief paper: Asynchronous cellular learning automata
Automatica (Journal of IFAC)
Population size reduction for the differential evolution algorithm
Applied Intelligence
Advances in Differential Evolution
Advances in Differential Evolution
A learning automata based algorithm for optimization of continuous complex functions
Information Sciences: an International Journal
A team of continuous-action learning automata for noise-tolerant learning of half-spaces
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Cellular learning automata with multiple learning automata in each cell and its applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A note on the learning automata based algorithms for adaptive parameter selection in PSO
Applied Soft Computing
A Hybrid Web Recommender System Based on Cellular Learning Automata
GRC '10 Proceedings of the 2010 IEEE International Conference on Granular Computing
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
An orthogonal genetic algorithm with quantization for globalnumerical optimization
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Opposition-Based Differential Evolution
IEEE Transactions on Evolutionary Computation
Varieties of learning automata: an overview
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Genetic learning automata for function optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Ensemble Algorithms in Reinforcement Learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive downlink scheduling and rate selection: a cross-layer design
IEEE Journal on Selected Areas in Communications
A hybrid algorithm for constrained portfolio selection problems
Applied Intelligence
Adaptive cooperative particle swarm optimizer
Applied Intelligence
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This paper presents a hybrid model named: CLA-DE for global numerical optimization. This model is based on cellular learning automata (CLA) and differential evolution algorithm. The main idea is to learn the most promising regions of the search space using cellular learning automata. Learning automata in the CLA iteratively partition the search dimensions of a problem and learn the most admissible partitions. In order to facilitate incorporation among the CLA cells and improve their impact on each other, differential evolution algorithm is incorporated, by which communication and information exchange among neighboring cells are speeded up. The proposed model is compared with some evolutionary algorithms to demonstrate its effectiveness. Experiments are conducted on a group of benchmark functions which are commonly used in the literature. The results show that the proposed algorithm can achieve near optimal solutions in all cases which are highly competitive with the ones from the compared algorithms.