Job schedule in java. Subject Genetic algorithm
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Look at the attached file.
Job Scheduling(Genetic Algorithm: one of Karp 21 problem).
You will "solve" this problem in 3 ways:
a) Brute Force Algorithm. You may use code found on the web for this part ONLY.
b) Random Algorithm. Since GA template can be used for the random algorithm. So apply following GA step for Random Algorithm:
Step 1: all the parameter list (maintain parameter file)
-Allow in any other these parameter
-Crossover rate decide by code not by user
Step: 2 randomly choose an initial population (i.e. geographic reason) is fixed size in each generation (i.e. all living being)
step 3: evaluate fitness of every individual population
step:4 stopping criteria.
Step 5: go back step 2
c) Genetic Algorithm. As to which selection/crossover/mutation algorithm you use is left up to you.
Step 1: all the parameter list (maintain parameter file). Allow in any order this parameter. Crossover rate decides by code not by user
Step: 2 randomly choose an initial population (i.e. geographic reason) is fixed size in each generation (i.e. all living being)
step 3: evaluate fitness of every individual population
step:4 stopping criteria.
Step 5: selection process of identifying(potential) mates.
Step 6: choose parents (mates) from pool.
Step 7: for man individual by crossover of genetic material hold by parents.
Step 8: allow for possible mutation formed individual genetic material
Step 9: go back step 3
ID dự án: #19439520