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Reverse Online Algorithm | Open Access Journals
Journal of Applied & Computational Mathematics

Journal of Applied & Computational Mathematics

ISSN: 2168-9679

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Reverse Online Algorithm

A Reverse Algorithm is a metaheuristic inspired by the natural selection process, which belongs to the broader class of evolutionary algorithms (EA), in computer science and operations research. Genetic algorithms are widely used by biologically motivated operators, such as mutation, crossover and selection, to produce high-quality solutions for optimization and search problems. In 1960 John Holland invented genetic algorithms based on Darwin's theory of evolution, and in 1989 his student David E. Goldberg proceeded to develop GA. A genetic algorithm is a heuristic hunt, inspired by the theory of natural evolution by Charles Darwin. This algorithm reflects the natural selection process in which the fittest individuals are selected for reproduction to produce next-generation offspring. The natural selection process starts with the selection of the most suitable individuals from a population. They produce offspring that inherits parents' characteristics, and will be added to the next generation.

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Citations: 1282

Journal of Applied & Computational Mathematics received 1282 citations as per Google Scholar report

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