Just released version 9.0.0 of the #Jenetics #Java library. It now requires #Java25 to compile and run.
#GeneticAlgorithm #EvolutionaryAlgorithm #GrammaticalEvolution #GeneticProgramming #MultiobjectiveOptimization #MOEA
https://github.com/jenetics/jenetics/releases/tag/v9.0.0
#EvolutionaryAlgorithm
Just released version 8.3.0 of the #Jenetics #Java library.
#GeneticAlgorithm #EvolutionaryAlgorithm #GrammaticalEvolution #GeneticProgramming #MultiobjectiveOptimization #MOEA
https://github.com/jenetics/jenetics/releases/tag/v8.3.0
Just released version 8.2.0 of the #Jenetics #Java library.
#GeneticAlgorithm #EvolutionaryAlgorithm #GrammaticalEvolution #GeneticProgramming #MultiobjectiveOptimization #MOEA
https://github.com/jenetics/jenetics/releases/tag/v8.2.0
In my experience, code generation by LLMs is no good. In the best possible case, you have to spend more time to correct it. And most of the time it's just garbage.
But LLMs are quite useful for code review if you ask me. They suggest like 10 suggestions for your code. And usually at least half of them are right. You could ask another developer to do it for you. But by giving it to an LLM, you save human efforts for more important things.
By the way, if you truly want automatic and useful code generation, try #GeneticProgramming and #EvolutionaryAlgorithm :)
Towards a Heuristic Optimizer for a Target Time Management System in Air Traffic Flow Management.
#Jenetics #GeneticAlgorithm #FlightPrioritization #MultiPartyComputation #EvolutionaryAlgorithm #HeuristicOptimization
https://ieeexplore.ieee.org/document/10749250
Latest version 8.1.0 of the #Jenetics #Java library available.
#GeneticAlgorithm #EvolutionaryAlgorithm #GrammaticalEvolution #GeneticProgramming #MultiobjectiveOptimization #MOEA
https://github.com/jenetics/jenetics/releases/tag/v8.1.0
Evolutionary algorithm (Evolution 🧬)
In computational intelligence, an evolutionary algorithm is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. Candidate solutions to the optimization problem play...
https://en.wikipedia.org/wiki/Evolutionary_algorithm
#EvolutionaryAlgorithm #Evolution #Cybernetics #EvolutionaryAlgorithms
I need to dig into the paper more deeply, but this seems like a pretty significant result for optimizing ML performance and power usage (at least for classifiers - but it seems like the same approach could be used elsewhere).
"Despite Tiny Classifiers being constrained to a few hundred logic gates, we observe no statistically significant difference in prediction performance in comparison to the best-performing ML baseline"
Have you ever seen an #EvolutionaryAlgorithm evolve to "extinction"? By that I mean that fitness is gradually improving over multiple generations and then suddenly falls off a cliff to a lower bound, and never recovers. A student saw it in some code we were hacking recently. The cause was obvious, in retrospect.
MOSA-EA introduced by Xiaoyu Qin and myself is an #evolutionaryalgorithm for hard combinatorial optimisation problems. It builds on a decade of theoretical research on non-elitist, self-adaptive, population-based evolutionary algorithms.
It has excellent performance, particularly on random #MAXSAT and #NKlandscape problem instances.
Python and C/C++ source code available here:
https://github.com/ChengCheng-Qin/mosa-ea
Hey all, don't know what's all the fuss, I'm not even that aware of what's exactly going on twitter, but if even 10% of what I've been reading is true it's probably a smart move to split my eggs across baskets 🤔
For the ones who don't know, my name is Léo and I've been developing The Bibites, an #ArtificialLife project, for the past ~7 years.
My goal is to keep pushing the boundaries of Artificial Life Simulations forward and to never stop never stopping
A #thread of recent papers coauthored by Eörs Szathmáry on learning and evolution, covering Darwinian principles in the immune system, brain, Bayesian learning theory.
Mentioned in today's #KLIAustria #KLIColloquium talk.
#evolution #ecoevo #EvolutionaryBiology #EvolutionaryAlgorithm #Darwin #Darwinian #Learning #LearningTheory #Bayesian #neuroscience #immunology #PaperThread #
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst