Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
An Electromagnetism-like Mechanism for Global Optimization
Journal of Global Optimization
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Journal of Global Optimization
Predictive models for the breeder genetic algorithm i. continuous parameter optimization
Evolutionary Computation
Rough particle swarm optimization and its applications in data mining
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue (1143 - 1198) " Distributed Bioinspired Algorithms"; Guest editors: F. Fernández de Vega, E. Cantú-Paz
Theory of Saplings Growing Up Algorithm
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Multi-objective rule mining using a chaotic particle swarm optimization algorithm
Knowledge-Based Systems
Nature-Inspired Metaheuristic Algorithms
Nature-Inspired Metaheuristic Algorithms
A new optimization method: Big Bang-Big Crunch
Advances in Engineering Software
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Chaotic bee colony algorithms for global numerical optimization
Expert Systems with Applications: An International Journal
Firefly algorithms for multimodal optimization
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Biogeography-Based Optimization
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel chemistry based metaheuristic optimization method for mining of classification rules
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Advances in Engineering Software
Hi-index | 12.05 |
Heuristic based computational algorithms are densely being used in many different fields due to their advantages. When investigated carefully, chemical reactions possess efficient objects, states, process, and events that can be designed as a computational method en bloc. In this study, a novel computational method, which is more robust and have less parameters than that of used in the literature, is intended to be developed inspiring from types and occurring of chemical reactions. The proposed method is named as Artificial Chemical Reaction Optimization Algorithm, ACROA. Applications to multiple-sequence alignment, data mining, and benchmark functions have been performed so as to put forward the performance of developed computational method.