Comparison of Three Evolutionary Algorithms: PSOA, ACOA and BCOA on Recognition Arabic Characters Problem
| Autor: | Majida Ali Abed, Ahmed Naser Ismael |
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| Rok vydání: | 2017 |
| Předmět: |
Optimization problem
Arabic characters biology Computer science business.industry Ant colony optimization algorithms MathematicsofComputing_NUMERICALANALYSIS Evolutionary algorithm Particle swarm optimization biology.organism_classification ComputingMethodologies_ARTIFICIALINTELLIGENCE Evolutionary computation Psoa Genetic algorithm Artificial intelligence Arithmetic business |
| Zdroj: | Journal of Artificial Intelligence Practice. 2:1-12 |
| ISSN: | 2371-8412 2371-8315 |
| DOI: | 10.23977/jaip.2017.21001 |
| Popis: | Intelligence techniques such as Particle swarm optimization, Genetic algorithm, Ant colony optimization , Bee Colony Optimization can apply on the system as classification method for better result This paper we survey three techniques Ant Colony Optimization Algorithm (ACOA), Particle Swarm Optimization Algorithm (PSOA), and Bee Colony Optimization Algorithm (BCOA),their algorithm and reason to use. In recent years, the area of Evolutionary Computation has come into these three. Three of the popular developed approaches are Particle Swarm Optimization Algorithm (PSOA), Ant Colony Optimization Algorithm (ACOA) and Bee Colony Optimization Algorithm (BCOA), are used in optimization problems. Since the three approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare their implementation. The problem area chosen is that recognition of Final forms of Arabic handwritten characters. |
| Databáze: | OpenAIRE |
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