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# encoding=utf8 |
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# This is temporary fix to import module from parent folder |
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# It will be removed when package is published on PyPI |
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import sys |
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sys.path.append('../') |
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# End of fix |
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import random |
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import logging |
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from NiaPy.algorithms.basic import GlowwormSwarmOptimizationV3 |
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from NiaPy.util import Task, TaskConvPrint, TaskConvPlot, OptimizationType, getDictArgs |
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logging.basicConfig() |
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logger = logging.getLogger('examples') |
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logger.setLevel('INFO') |
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# For reproducive results |
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random.seed(1234) |
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View Code Duplication |
class MinMB(object): |
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def __init__(self): |
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self.Lower = -11 |
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self.Upper = 11 |
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def function(self): |
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def evaluate(D, sol): |
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val = 0.0 |
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for i in range(D): val = val + sol[i] * sol[i] |
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return val |
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return evaluate |
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class MaxMB(MinMB): |
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def function(self): |
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f = MinMB.function(self) |
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def e(D, sol): return -f(D, sol) |
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return e |
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def simple_example(alg, runs=10, D=10, nFES=50000, nGEN=10000, seed=None, optType=OptimizationType.MINIMIZATION, optFunc=MinMB, **kn): |
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for i in range(runs): |
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task = Task(D=D, nFES=nFES, nGEN=nGEN, optType=optType, benchmark=optFunc()) |
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algo = alg(seed=seed, task=task) |
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best = algo.run() |
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logger.info('%s %s' % (best[0], best[1])) |
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def logging_example(alg, D=10, nFES=50000, nGEN=100000, seed=None, optType=OptimizationType.MINIMIZATION, optFunc=MinMB, **kn): |
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task = TaskConvPrint(D=D, nFES=nFES, nGEN=nGEN, optType=optType, benchmark=optFunc()) |
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algo = alg(seed=seed, task=task) |
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best = algo.run() |
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logger.info('%s %s' % (best[0], best[1])) |
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def plot_example(alg, D=10, nFES=50000, nGEN=100000, seed=None, optType=OptimizationType.MINIMIZATION, optFunc=MinMB, **kn): |
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task = TaskConvPlot(D=D, nFES=nFES, nGEN=nGEN, optType=optType, benchmark=optFunc()) |
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algo = alg(seed=seed, task=task) |
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best = algo.run() |
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logger.info('%s %s' % (best[0], best[1])) |
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input('Press [enter] to continue') |
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def getOptType(otype): |
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if otype == OptimizationType.MINIMIZATION: return MinMB |
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elif otype == OptimizationType.MAXIMIZATION: return MaxMB |
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else: return None |
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if __name__ == '__main__': |
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pargs, algo = getDictArgs(sys.argv[1:]), GlowwormSwarmOptimizationV3 |
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optFunc = getOptType(pargs['optType']) |
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if not pargs['runType']: simple_example(algo, optFunc=optFunc, **pargs) |
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elif pargs['runType'] == 'log': logging_example(algo, optFunc=optFunc, **pargs) |
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elif pargs['runType'] == 'plot': plot_example(algo, optFunc=optFunc, **pargs) |
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# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3 |
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NiaOrg /
NiaPy
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