genetic-algorithm Questions
5
Solved
I am getting references in a paper on genetic programming, to a "protected division" operation. When I google this, i get mostly papers on genetic programming and various results related to cryptog...
Erle asked 1/9, 2011 at 2:22
3
Solved
In evolutionary algorithms two main abilities maintained which are Exploration and Exploitation.
In Exploration the algorithm searching for new solutions in new regions, while Exploitation means u...
Blanks asked 23/11, 2013 at 11:55
2
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I'm learning about NEAT from the following paper: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf
I'm having trouble understanding how adjusted fitness penalizes large species and preven...
Suppress asked 20/12, 2017 at 2:50
6
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I'm currently looking for a mature GA library for python 3.x. But the only GA library can be found are pyevolve and pygene. They both support python 2.x only. I'd appreciate if anyone could help.
Feathering asked 16/5, 2013 at 12:14
2
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I am looking for a good pseudo code - or better yet actual code snippets - on implementing wrights algorithm on a genealogy database I have for sheep stored in SQL Server database.
I have a very o...
Harri asked 17/4, 2009 at 12:46
1
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I have a problem of University Timetable Scheduling which I am trying to solve with Genetic Algorithm. I want to know the best encoding type for this problem that can also help me in satisfying few...
Dozer asked 11/10, 2021 at 16:6
3
I am working on a genetic algorithm in python. In my problem I store individuals in a list like that:
lst = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
In every iteration there is some fixed probability that...
Pampuch asked 2/10, 2021 at 14:41
4
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I am trying to write a code for GA to minimize the cost of a system, the problem is that the solution converges towards a local minimum and it gets stuck in it so I can't improve my solution anymor...
Jawbreaker asked 3/7, 2015 at 22:49
7
I was wondering how common it is to find genetic algorithm approaches in commercial code.
It always seemed to me that some kinds of schedulers could benefit from a GA engine, as a supplement to th...
Certiorari asked 20/11, 2008 at 7:47
3
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I am currently implementing the NEAT algorithm developed by Kenneth Stanley, taking the original paper as a reference.
In the section where the crossover method is described, one thing confuses m...
Cowen asked 27/5, 2018 at 15:47
5
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Running a GA code on spyder through Anaconda, the script runs till the end and just before running the well plotter ( see below):
# Well Plotter
pdf = matplotlib.backends.backend_pdf.PdfPages("...
Bolanger asked 19/7, 2020 at 12:30
3
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I'm working on a genetic algorithm.
There are two objective and each one has its own fitness values (fv1,fv2).
I know how generational(SGE) and steady-state(SS) genetic algorithms works.
I'm try...
Catechism asked 7/6, 2012 at 20:0
4
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I am implementing a small genetic algorithm framework - primarily for private use, unless I manage to make something reasonable at which time I will post it as open source. Right now I am focusing ...
Demonography asked 29/11, 2013 at 17:30
1
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It seems that my program is trying to learn until a certain point, and then it's satisfied and stops improving and changing at all. With my testing it usually goes to a value of -5 at most, and the...
Spacing asked 24/11, 2020 at 19:5
3
I wrote a simple genetic algorithm that can solve traveling salesman problem with 5 cities. I want to see how it does on a problem with more cities, something like 10, 25, 50, 100, but I can'...
Changsha asked 13/6, 2012 at 2:12
5
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I am trying to implement genetic algorithm for maximizing a function of n variables. However the problem is that the fitness values can be negative and I am not sure about how to handle negative va...
Extramarital asked 24/4, 2013 at 8:6
3
I'm trying to implement an AI for a game of 'continuous snake'. It's very different from a normal snake game, at least as far as the AI is concerned. Basically, the snake drives a bit like a car an...
Craniometer asked 31/5, 2014 at 12:26
14
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Can anyone provide some pseudo code for a roulette selection function? How would I implement this:
I don't really understand how to read this math notation. I never took any probability or stati...
Benfield asked 7/10, 2008 at 4:56
3
I am attempting to create a genetic algorithm to train a neural network, with the goal of playing the game snake.
The problem I am having is that the fitness of the generations isn't improving, it...
Garratt asked 12/5, 2018 at 19:22
3
Solved
I've implemented a genetic algorithm trained neural network with a mutation operator like so:
def mutation(chromosome, mutation_rate):
for gene in chromosome:
if random.uniform(0.00, 1.00) <=...
Og asked 14/4, 2020 at 19:0
6
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This question answers pseudocode for roulette wheel selection. But it's for maximization problem. But my problem is to minimize the value of fitness function. That means, individuals with low fitne...
Duramen asked 6/1, 2012 at 15:48
5
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Is there a difference between genetic algorithms and evolutionary algorithms?
I have read multiple papers, talking about genetic or evolutionary algorithms, and while very similar, I think they m...
Elnora asked 22/5, 2010 at 22:53
2
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So I was assigned the problem of writing a 5x5x5 tic-tac-toe player using a genetic algorithm. My approach was to start off with 3x3, get that working, and then extend to 5x5, and then to 5x5x5.
...
Incandesce asked 11/4, 2011 at 19:56
6
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I have a list of objects (Chromosome) which have an attribute fitness (chromosome.fitness is between 0 and 1)
Given a list of such objects, how can I implement a function which returns a single chr...
Flowery asked 25/4, 2012 at 21:23
5
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I'm looking to add some genetic algorithms to an Operations research project I have been involved in. Currently we have a program that aids in optimizing some scheduling and we want to add in...
Outfall asked 18/5, 2010 at 13:11
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