Abstract: Dynamic Multi-objective Optimization Problems (DMOPs) typically involve multiple conflicting objectives that change over time. Therefore, an effective evolutionary algorithm should possess ...
AI and ML are changing chromatography. Hear from an expert about the hype, the challenges and the opportunities seen today.
A Multimodal Multi-Objective Evolutionary Algorithm Based on Growing Neural Gas and Fuzzy Set Theory
In this paper, an evolutionary algorithm based on growing neural gas and fuzzy set theory (EA-GNG&FS) is proposed to solve the multimodal multi-objective optimization problems with imbalance. First, ...
There’s plenty of debate on when humanity will create AGI, but those looking for AI that mimics human intelligence might be just ...
Water Distribution, Hydraulic Modeling, EPANET, Optimization, Extended Period Simulation Charles, G. , Swilla, L. , Tarimo, I ...
Lift, Drag, Computational Fluid Dynamics, Energy Analysis, L/D Efficiency Share and Cite: Suppes, A. and Suppes, G. (2025) ...
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