Jun 11
Our DE-tuned XGBoost model delivered a 95.05% average accuracy in forecasting LINK daily closing prices during the latest evaluation window.
#LINK #Chainlink #XGBoost #DifferentialEvolution #MachineLearning #DataScience
50
May 13
MNT Daily Prediction (DE ARIMA)
Our model delivered ~93.1% average accuracy on recent daily closes.
Solid performance! 📈
#MNT #CryptoPrediction #ARIMA #DifferentialEvolution #Altcoins
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11 Nov 2025
A Multi-Strategy #DifferentialEvolution #Algorithm with Adaptive Similarity Selection Rule
✏️ Liming Zheng and Yinan Wen
🔗 brnw.ch/21wXnsG
Viewed: 2424; Cited: 4
#mdpisymmetry #evolutionarycomputation
@jnu1906
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31
28 Oct 2025
Check this newly published article "Parameter Adaptive #DifferentialEvolution Based on Individual Diversity" at brnw.ch/21wWZbl
Authors: Rongle Yan, Liming Zheng and Xiaolin Jin
#mdpisymmetry
@jnu1906
@ComSciMath_Mdpi
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62
23 Sep 2025
🚀 Unleash the Power of Evolutionary AI with EvoAgentX!
We’re thrilled to announce a game-changing feature in EvoAgentX: the EvoPrompt Optimizer.
This isn’t just another tweak — it’s a leap forward in how multi-agent workflows can improve themselves.
🔥 What makes it different?
The EvoPrompt Optimizer introduces the power of evolutionary algorithms into the heart of AI workflows. Instead of static prompts, your agents can now evolve, adapt, and compete — leading to stronger performance with each iteration.
•🧬 Two classic algorithms: Genetic Algorithm (GA) & Differential Evolution (DE)
•🔁 Automatic prompt optimization across multi-agent workflows
•⚡ Parallel evolution & combination optimization across multiple nodes
•📊 Built-in detailed logging & clear training charts to track progress
Minimal manual setup is needed — you choose parameters like population size and iterations, and the optimizer takes care of the heavy lifting.
📊 Real Results on BIG-Bench Hard
We put EvoPrompt Optimizer to the test on one of the most challenging benchmarks, and the numbers speak for themselves:
• ruin_names: Accuracy jumped from 0.5150 → 0.7400 (DE), a 43.7% boost
• snarks: Both GA and DE achieved 16.5% improvements
• multistep_arithmetic_two: Even with a strong baseline, EvoPrompt still delivered 3–4% gains
• geometric_shapes: DE reached 7.6% improvement, showing robustness across task types
Each run produces summary logs and visual charts — making optimization progress easy to understand and compare.
✨ Why this matters
The EvoPrompt Optimizer is more than an optimizer. It’s a new mindset: workflows are no longer fixed scripts, but adaptive systems that learn to get better over time.
This opens the door for more resilient AI agents that can adapt across tasks, industries, and rapidly changing environments.
Whether you’re optimizing sarcasm classifiers with multi-prompt voting ensembles, or running challenging reasoning tasks, EvoPrompt gives you the edge.
⚙️ How to try it yourself
1. Getting started is straightforward:
Define your workflow (for example, a three-prompt voting program, where each prompt evolves independently).
2. Register your prompt nodes with ParamRegistry.
3. Pick your optimizer: GA or DE, each with configurable parameters like population_size, iterations, combination_sample_size, and concurrency_limit.
4. Run & monitor: EvoPrompt handles the optimization and generates logs and charts for transparency.
The full tutorial includes runnable code, environment setup, and even a complete working example (evoprompt_workflow.py) you can use today.
👉 Explore the full tutorial here: EvoPrompt Optimizer Tutorial: github.com/EvoAgentX/EvoAgen…
🌱 Let your prompts evolve to win. With EvoAgentX’s EvoPrompt Optimizer, your AI workflows won’t just run — they’ll adapt, improve, and thrive.
Acknowledgment: Our implementation builds on EvoPrompt (Qingyan et al.), re-implemented in EvoAgentX with permission. We follow the Microsoft Open Source Code of Conduct.opensource.microsoft.com/cod…
📎 Original repo: github.com/beeevita/EvoPromp… & github.com/microsoft/EvoProm…
#EvoAgentX #EvoPrompt #GeneticAlgorithm #DifferentialEvolution #PromptOptimization #MultiAgent #LLM #OpenSource #AIInnovation
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122
15 Sep 2025
🔥 Read our Highly Cited Paper
📚An Improved Back Propagation #NeuralNetwork Based on Differential Evolution and Grey Wolf Optimizer and Its Application in the Height Prediction of Water-Conducting Fracture Zone
🔗mdpi.com/2076-3417/14/11/450…
👨🔬by Houzhu Wang et al.
@StudyinCUMT
#differentialevolution #greywolfoptimizer
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8 Sep 2025
🔥 Read our Paper
📚 Investigation on the Association of Differential Evolution and Constructal Design for Geometric Optimization of Double Y-Shaped Cooling Cavities Inserted into Walls with Heat Generation
🔗 mdpi.com/2076-3417/13/3/1998
👨🔬 by Gill Velleda Gonzales et al.
#differentialevolution #constructaldesign
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28 May 2025
100 reads in a week for the new article with Teo Prica in @MathematicsMDPI (Special Issue Innovations in High-Performance Computing):
"High-Performance Deployment Operational Data Analytics of Pre-Trained Multi-Label Classification Architectures with Differential-Evolution-Based Hyperparameter Optimization (AutoDEHypO)"
#Q1 #JCR #HPC #AI #ML #PreTrained #Deployment #EnergyEfficiency #Watt #DE #DifferentialEvolution #Classification #NN #MODA
mdpi.com/2227-7390/13/10/168…
Grok's "DeepSearch" conversation on the post: x.com/i/grok/share/BNsq8zkJa…
20 May 2025
High-Performance Deployment Operational Data Analytics of Pre-Trained Multi-Label Classification Architectures with Differential-Evolution-Based Hyperparameter Optimization (AutoDEHypO) mdpi.com/3320652 #mdpimathematics via @MathematicsMDPI
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160
3 Feb 2025
🔥 Read our Paper
📚 A Self-Adaptive Neighborhood Search Differential Evolution Algorithm for Planning Sustainable Sequential Cyber–Physical Production Systems
🔗 mdpi.com/2076-3417/14/17/804…
👨🔬 by Fu-Shiung Hsieh
#differentialevolution #selfadaptive #optimization
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74
18 Jun 2023
A Tutorial on #DifferentialEvolution on #Scipy! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
bit.ly/3HDnuoU
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4,193
21 Jun 2022
#1 #REALITY! #1 OF #1 #RESPECT! #1 @clamchowder7 MET @MoeKhan19 JUNE,15. @RiverLions GAME! MOE GAVE PHONE TO GIRL TAKE PHOTO OF US! 9 DAYS PAST! #1 STILL NO PHOTO! #1 #Arrival! #1 THE #1 #DifferentialEvolution! #1 #ENOUGH! #1 #SAID! #1🙏👊👑#AutismAcceptance!!!! #1❤️☘️@oconnell53
29 May 2022
With the legend @clamchowder7 at the @mtl_alliance home opener!! Where are you @sportsrage Oh #OuiPapa 🏀🏀 #FeelThePassion
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21 Jun 2022
#DifferentialEvolution from Scratch in #Python Code! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
geni.us/MMasteryDiffEvol
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19 Jun 2022
A Tutorial on #DifferentialEvolution with #Scipy and #Python. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
geni.us/DifferentialEvol
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21 Apr 2022
Improved data clustering using multi-trial vector-based differential evolution with Gaussian crossover #TechRxiv #DifferentialEvolution #DataClustering
#DataMining #Optimization
techrxiv.org/articles/prepri…
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26 Nov 2021
Coverage Strategy for Target Location in #MarineEnvironments Using #FixedWingUAVs
by Javier Muñoz, Blanca López, Fernando Quevedo, et al.
Full paper👉mdpi.com/2504-446X/5/4/120
#coveragepathplanning
#geneticalgorithms
#differentialevolution
#searchalgorithms
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11 Aug 2021
#Genetic programming guidance control system for a #reentry vehicle under #uncertainties
strathprints.strath.ac.uk/77… #OpenAccess #DifferentialEvolution #EvolutionaryOptimization @MAE_Strath @fmarchetti17 @edmondo_minisci
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21 May 2021
Understand the applications of #SoftComputing aka #ComputerIntelligence. #EvolutionaryComputation #differentialevolution #optimization #Machinelearning #HealthTech #Automation #MedTech #AI #ArtificialIntelligence @johnhanke @CiscoCloud @WorldTrendsInfo
bit.ly/3oCpaFJ
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