deap

Python Deap library, how to access initRepeat mapping

由 ∥☆過路亽．° 提交于 2019-12-11 07:28:14
问题 What I want my algorithm to do I want to have a bunch of random words as individuals in my population, whos fitness is compared to an "optimal" word. If the length of the words are equivalent, that's +1 in fitness. For each char that is the same, that's also +1 in fitness, +1.1 if it is in the same index. Unfortunately I'm having a really though time understanding deaps docs. This is what I have tried among other things so far. Attempted Code from deap import creator from deap import tools

How to add elimination mechanism in Python genetic algorithm based on DEAP

由 99封情书 提交于 2019-12-11 02:42:06
问题 Here is my question. I'm dealing with one optimization problem using DEAP. For now, I use toolbox.register("select", tools.selNSGA2) to select some fittest indivual to survive. But I want to add some threshold by user-defined function. Can the algorithm achieve two step of selection? Select several individuals by the tournament or selNSGA2 method Eliminate several individuals by pre-defined thresholds. 回答1: This should work. def myselect(pop, k, check): return [ind for in in tools.selNSGA2

Deap python package: create individuals with different ranges and mix of integers and floats

由 十年热恋 提交于 2019-12-03 16:18:13
I am trying to use DEAP to maximise a function. I understand how to do it with the basic example: toolbox.register("attr_bool", random.randint, 0, 1) toolbox.register("individual", tools.initRepeat, creator.Individual, toolbox.attr_bool, 100) which creates 100 random values or either 0 or 1. You then go on and create a population and mutate ... How do you build a population when you have for example two parameters: parameter 1 integer with range [0,1] parameter 2 float with range [0,2] Then create an individual combining both randomly sampled parameters? or for parameter 2 sample with an

Using DEAP (genetic algorithm library) with spark

由 倖福魔咒の 提交于 2019-12-01 00:18:39
Is IT possible to use DEAP ( http://deap.readthedocs.io/en/master/ ) with a spark cluster to map the fitness evaluation function. I would like to run a GA but the fitness function is rather long and I was planning on distributing it on a spark cluster. You should look at the Using Multiple Processors section in the DEAP documentation and at this example . They explain how to replace the map function in the DEAP toolbox by a map function of your choice. To use pyspark to map the fitness evaluation function, you could do something like that: from pyspark import SparkContext sc = SparkContext

Using DEAP (genetic algorithm library) with spark

由 蓝咒 提交于 2019-11-30 18:31:06
问题 Is IT possible to use DEAP ( http://deap.readthedocs.io/en/master/) with a spark cluster to map the fitness evaluation function. I would like to run a GA but the fitness function is rather long and I was planning on distributing it on a spark cluster. 回答1: You should look at the Using Multiple Processors section in the DEAP documentation and at this example. They explain how to replace the map function in the DEAP toolbox by a map function of your choice. To use pyspark to map the fitness
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