Discover why chasing perfect routines and endless self-improvement won’t spare you from life’s mess — and what real ...
The artificial intelligence community celebrated a remarkable milestone in 2025 when both Google DeepMind and OpenAI systems ...
Despite fears that pandemic stress would harm child development, new research shows toddlers actually displayed fewer emotional and behavioral problems, especially in families with lower maternal ...
Abstract: Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with ...
Abstract: Large-scale sparse multiobjective optimization problems (LSMOPs) are of great significance in the context of practical applications, such as critical node detection, feature selection, and ...
SparseEA is a MATLAB-based evolutionary algorithm designed for solving multi-objective feature selection problems in classification tasks. It leverages advanced evolutionary strategies to enhance the ...
This project implements and analyzes three optimization algorithms—Genetic Algorithm, Simulated Annealing, and Hill Climbing—to solve the Cutting Stock Problem. This classic problem involves ...
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