Ever wondered how data science can solve your personal problems? 🤔 Check out @Courtney_Perigo's latest article on using Monte Carlo and genetic algorithms to tackle the chaos of nanny scheduling.
#DataScience#GeneticAlgorithm#MonteCarlo
Still thinking how to choose the parameters of your #GeneticAlgorithm? Make your life easy and choose them randomly from a power-law! A proof that this can work just appeared in Algorithmica
From @LIX_lab@Polytechnique@IP_Paris_ with love :-).
Want to collect the n best evolution results instead of just the best? No problem in Jenetics 5. The example shows how to collect the 10 best results in increasing order. #GeneticAlgorithm
How do selection methods and population interact in #NTGA2?: “Population-less #GeneticAlgorithm? Investigation of Non-dominated Tournament Genetic Algorithm (NTGA2) for multi-objective optimization“ by M. Antkiewicz, P. Myszkowski. ACSIS Vol. 37 p.21–28;
Here is the beginning of the learning process. Only the best 5 fairies out of 50 are allowed to reproduce, with a mutation rate of 1%. Maybe I should stream and record all of it?
The learning process, not the reproduction...
#javascript#NeuralNetworks#GeneticAlgorithm#fairy
All this neural complexity of the human brain was configured by a #GeneticAlgorithm by #MotherNature! Now we're trying to find something "elegant" but "comparable performance" by hand.
#GoodLuck.
New paper using Jenetics: "The Evolutionary Optimization of a Company’s Return on Equity Factor: Towards the Agent-Based Bio-Inspired System Supporting Corporate Finance Decisions."
#GeneticAlgorithm#ArtificialIntelligence
#DTS
Multi-objective combinatorial programming with genetic algorithm decomposition balances rescue traffic efficiency, distance, and distribution under dedicated link opening restrictions.
@NHVR@road_driving#GeneticAlgorithm#DisasterResponse
Details:
Designing a simple but robust #geneticalgorithm for weighted #setcover: “An Improved Genetic Algorithm for Set Cover using #RosenthalPotential” by Dena Tayebi, Saurabh Ray, Deepak Ajwani. ACSIS Vol. 39 p. 689–694;
Everybody's talking about it. Scientists have created the first microscopic robot using genetically modified frog cells. Guess what technology scientists used to identify the configuration with which these cells should be organized to design these biological machines?