NiaOrg /
NiaPy
| @@ 50-58 (lines=9) @@ | ||
| 47 | self.F = 0.5 |
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| 48 | self.CR = 0.9 |
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| 49 | ||
| 50 | def best_bat(self): |
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| 51 | i = 0 |
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| 52 | j = 0 |
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| 53 | for i in range(self.NP): |
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| 54 | if self.Fitness[i] < self.Fitness[j]: |
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| 55 | j = i |
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| 56 | for i in range(self.D): |
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| 57 | self.best[i] = self.Sol[j][i] |
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| 58 | self.f_min = self.Fitness[j] |
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| 59 | ||
| 60 | def init_bat(self): |
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| 61 | for i in range(self.D): |
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| @@ 48-56 (lines=9) @@ | ||
| 45 | self.best = [0] * self.D # best solution |
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| 46 | self.evaluations = 0 # evaluations counter |
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| 47 | ||
| 48 | def best_flower(self): |
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| 49 | i = 0 |
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| 50 | j = 0 |
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| 51 | for i in range(self.NP): |
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| 52 | if self.Fitness[i] < self.Fitness[j]: |
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| 53 | j = i |
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| 54 | for i in range(self.D): |
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| 55 | self.best[i] = self.Sol[j][i] |
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| 56 | self.f_min = self.Fitness[j] |
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| 57 | ||
| 58 | @classmethod |
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| 59 | def simplebounds(cls, val, lower, upper): |
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| @@ 47-55 (lines=9) @@ | ||
| 44 | self.best = [0] * self.D # best solution |
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| 45 | self.evaluations = 0 # evaluations counter |
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| 46 | if callable(function): |
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| 47 | self.Fun = function |
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| 48 | else: |
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| 49 | if function == 'rastrigin': |
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| 50 | self.Fun = Rastrigin().function() |
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| 51 | elif function == 'rosenbrock': |
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| 52 | self.Fun = Rosenbrock().function() |
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| 53 | elif function == 'griewank': |
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| 54 | self.Fun = Griewank().function() |
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| 55 | elif function == 'sphere': |
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| 56 | self.Fun = Sphere().function() |
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| 57 | else: |
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| 58 | raise TypeError('Passed benchmark is not defined!') |
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