reviewFeb 1, 2019Closed access
Genetic Algorithm- A Literature Review
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Abstract
Genetic Algorithm (GA) may be attributed as method for optimizing the search tool for difficult problems based on genetics selection principle. In additions to Optimization it also serves the purpose of machine learning and for Research and development. It is analogous to biology for chromosome generation with variables such as selection, crossover and mutation together constituting genetic operations which would be applicable on a random population initially. GA aims to yield solutions for the consecutive generations. The extent of success in individual production is directly in proportion to fitness of solution which is represented by it, thereby ensuring that quality in successive generations will be…
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Authors
3Topics & keywords
Topics
Keywords
- Crossover
- Genetic algorithm
- Selection (genetic algorithm)
- Tournament selection
- Computer science
- Population-based incremental learning
- Cultural algorithm
- Population
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