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In each generation, it generates a new population from the current population using a given set of genetic operators known as crossover and mutation.
After applying a set of genetic operations, the GA generates a new generation based on the previous generation.
Applying the same analysis to a diversity of flaws generates a new generation of often unpredictable flaws.
GA evaluates a population and generates a new one iteratively, with each successive population referred to as a generation.
This generates a new microstructure, martensite.
Not only does this reduce defections to satellite services, it also generates a new source of income.
Every action users take on the site generates a new ad display and revenue for the company.
PSO generates a new position with improved RP and throughput.
SR generates a new query with the new context information.
The method generates a new set of variables, called principal components.
This process generates a new estimation of the motion vector for the block to be interpolated.
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