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Mini-Project on Java: Implementation of Genetic Algorithm
Mini-project on Java: Implementation of a genetic algorithm for an optimal test order.
There is an example of the implementation of a genetic algorithm for another task.
The program needs to be adapted to the task.
The source data:
Big and small data sets with test results. The program reads from the file, forms the population, evaluates the fitness of each individual, couples 2 selected individuals, mutates descendants, evaluates the new population until the optimal combination is achieved. With the fitness and mutation assessment module - there is clarity, you need to implement the crossover method of the 2 massive index to collect the program to work.
Execution period of 3-4 days.
Contractual payment
There is an example of the implementation of a genetic algorithm for another task.
The program needs to be adapted to the task.
The source data:
Big and small data sets with test results. The program reads from the file, forms the population, evaluates the fitness of each individual, couples 2 selected individuals, mutates descendants, evaluates the new population until the optimal combination is achieved. With the fitness and mutation assessment module - there is clarity, you need to implement the crossover method of the 2 massive index to collect the program to work.
Execution period of 3-4 days.
Contractual payment
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236 2 0 Hello to you. Interested in your project. The complexity, cost and time of execution can be assessed after dating the algorithm for another task.
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