2026 International Symposium on Evolutionary Algorithm and Intelligent Control (ISEAIC 2026) will be held in Beijing, China from January 30 to February 1, 2026. Learn More: ais.cn/u/VnqE7z #internationalconference #EvolutionaryAlgorithm #IntelligentControl

✨ #HighlyCitedPaper Hierarchical Surrogate-Assisted #EvolutionaryAlgorithm for Integrated Multi-Objective #Optimization of #WellPlacement and #HydraulicFracture Parameters in Unconventional #Shale #Gas #Reservoir 👉 brnw.ch/21wXPd9 #mdpienergies #openaccess

🔥 Read our Paper 📚 Transfer Learning Based on Clustering Difference for Dynamic Multi-Objective Optimization 🔗 mdpi.com/2076-3417/13/8… 👨‍🔬 by Fangpei Yao et al. #dynamicmultiobjectiveoptimization #evolutionaryalgorithm

🔥 Read our Paper 📚 Evolutionary Algorithm to Optimize Process Parameters of Al/Steel Magnetic Pulse Welding 🔗 mdpi.com/2076-3417/13/2… 👨‍🔬 by Jiyeon Shim et al. #magneticpulsewelding #evolutionaryalgorithm

@TechInnovators @airevolution @DataScienceHub @techexplorers @innovateAI @dataanalytics @DataScienceNow @techinsight @aiinsights @Dataexperts @deeptech @datainnovators @aitrends @AiLeaders @AIApplications @DeepLearningHub @datasciencepro @TechLeaders @datainsight @DeepLearningPro @techtalks Leverage Evolutionary Algorithms! Inspired by natural selection, these evolve solutions for optimization problems. How do they fit into your optimization challenges? #EvolutionaryAlgorithm $AIMASTER @InnovateTech

🔥 Read our Paper 📚 Fast Joint Optimization of Well Placement and Control Strategy Based on Prior Experience and Quasi-Affine Transformation 🔗 mdpi.com/2076-3417/14/1… 👨‍🔬 by Haochen Wang et al. #jointoptimization #evolutionaryalgorithm

Paper Sharing 😉 Mapping pareto fronts for efficient multi-objective materials discovery From Prof. Kedar Hippalgaonkar's group from Nanyang Technological University oaepublish.com/articles/jmi.2… #BayesianOptimization, #EvolutionaryAlgorithm, #MaterialsScience

In our most recent work, we focused on the cost of #LLM-based #CodeGeneration. We proposed an #EvolutionaryAlgorithm for #PromptEngineering (EPiC) that not only improves the SOTA but with lower cost! You can find the paper here: arxiv.org/pdf/2408.11198…

Article Sharing Mapping pareto fronts for efficient multi-objective materials discovery oaepublish.com/articles/jmi.2… Correspondence to: Prof. Kedar Hippalgaonkar (Nanyang Technological University) #BayesianOptimization, #EvolutionaryAlgorithm, #materialsscience