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@@ 819-837 (lines=19) @@
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| 816 |
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kwargs.pop('vMin', None), kwargs.pop('vMax', None) |
| 817 |
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MutatedCenterParticleSwarmOptimization.setParameters(self, vMin=-np.inf, vMax=np.inf, **kwargs) |
| 818 |
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| 819 |
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def updateVelocity(self, V, p, pb, gb, w, vMin, vMax, task, **kwargs): |
| 820 |
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r"""Update particle velocity. |
| 821 |
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| 822 |
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Args: |
| 823 |
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V (numpy.ndarray): Current velocity of particle. |
| 824 |
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p (numpy.ndarray): Current position of particle. |
| 825 |
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pb (numpy.ndarray): Personal best position of particle. |
| 826 |
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gb (numpy.ndarray): Global best position of particle. |
| 827 |
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w (numpy.ndarray): Weights for velocity adjustment. |
| 828 |
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vMin (numpy.ndarray): Minimal velocity allowed. |
| 829 |
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vMax (numpy.ndarray): Maxmimal velocity allowed. |
| 830 |
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task (Task): Optimization task. |
| 831 |
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kwargs: Additional arguments. |
| 832 |
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| 833 |
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Returns: |
| 834 |
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numpy.ndarray: Updated velocity of particle. |
| 835 |
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""" |
| 836 |
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r3 = self.rand(task.D) |
| 837 |
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return self.Repair(w * V + self.C1 * self.rand(task.D) * (pb - p) * r3 + self.C2 * self.rand(task.D) * (gb - p) * (1 - r3), vMin, vMax) |
| 838 |
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| 839 |
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class ComprehensiveLearningParticleSwarmOptimizer(ParticleSwarmAlgorithm): |
| 840 |
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r"""Implementation of Mutated Particle Swarm Optimization. |
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@@ 168-185 (lines=18) @@
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| 165 |
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d.update({'popb': pop.copy(), 'fpopb': fpop.copy()}) |
| 166 |
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return pop, fpop, d |
| 167 |
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| 168 |
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def updateVelocity(self, V, p, pb, gb, w, vMin, vMax, task, **kwargs): |
| 169 |
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r"""Update particle velocity. |
| 170 |
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| 171 |
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Args: |
| 172 |
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V (numpy.ndarray): Current velocity of particle. |
| 173 |
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p (numpy.ndarray): Current position of particle. |
| 174 |
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pb (numpy.ndarray): Personal best position of particle. |
| 175 |
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gb (numpy.ndarray): Global best position of particle. |
| 176 |
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w (numpy.ndarray): Weights for velocity adjustment. |
| 177 |
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vMin (numpy.ndarray): Minimal velocity allowed. |
| 178 |
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vMax (numpy.ndarray): Maximal velocity allowed. |
| 179 |
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task (Task): Optimization task. |
| 180 |
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kwargs: Additional arguments. |
| 181 |
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| 182 |
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Returns: |
| 183 |
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numpy.ndarray: Updated velocity of particle. |
| 184 |
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""" |
| 185 |
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return self.Repair(w * V + self.C1 * self.rand(task.D) * (pb - p) + self.C2 * self.rand(task.D) * (gb - p), vMin, vMax) |
| 186 |
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| 187 |
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def runIteration(self, task, pop, fpop, xb, fxb, popb, fpopb, w, vMin, vMax, V, **dparams): |
| 188 |
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r"""Core function of Particle Swarm Optimization algorithm. |
NiaOrg /
NiaPy
