🔥 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

Introducing UMOEA/D: A ground-breaking evolutionary algorithm optimizing transparency and diversity in multiobjective optimization. Check out the latest research here: bit.ly/42JlyG5 #evolutionaryalgorithm #multiobjectiveoptimization #UMOEA/D

📚 Title: "A Differential Evolution Algorithm for Multi-objective Sparse Reconstruction." 👥 Authors: Xiaopei Zhu, Li Yan, Boyang Qu, Pengwei Wen, Zhao Li 🔬 Read for free and download: bit.ly/3p54vPw #Research #SparseReconstruction #EvolutionaryAlgorithm #benthamscience

📚 Title: "Multi-Objective Evolutionary Algorithm Based on Two Reference Points Decomposition and Historical Information Prediction"👥 Authors: Er-chao Li, Kang-Wei Li. Look into the research article here: bit.ly/3N5BISV #EvolutionaryAlgorithm #benthamscience

📚 Title: "A Many-Objective Evolutionary Algorithm Based on Two-Phase Selection" 👥 Authors: Erchao Li, Li-sen Wei 🔬 Read the article here: bit.ly/3X8Jxvw #Research #EvolutionaryAlgorithm #Optimization #benthamscience