Genetic programming typically starts with a population of randomly generated computer programs composed of the available programmatic ingredients. Genetic programming iteratively transforms a population of computer programs into a new generation of the population by applying analogs of naturally occurring genetic operations. These operations are applied to individuals selected from the population. The individuals are probabilistically selected to participate in the genetic operations based on their fitness. The iterative transformation of the population is executed inside the main generational loop of the run of genetic programming.
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- ABSTRACT
- INTRODUCTION
- JOB SHOP SCHEDULING
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- Genetic Algorithm
- Mechanism of GA
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