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ערוץ מקור @bighitxtcom · Post #83708 · 12 במאי

📸 | [TWITTER] @yoajung_kr The way we love us, Yoajung 🩷✖️💙 A spoonful of freshness 💙 A spoonful of sweetness 🩷 A special collaboration coming soon ✨ Leave heart emojis in the comments as much as your excitement 🫶! 2026. 05. 16 Coming Soon #투모로우바이투게더#TOMORROW_X_TOGETHER#TXT

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GitHub Trends

@githubtrending · Post #15242 · 23.10.2025, 12:30

#python#ant_colony_algorithm#artificial_intelligence#fish_swarms#genetic_algorithm#heuristic_algorithms#immune#immune_algorithm#optimization#particle_swarm_optimization#pso#simulated_annealing#travelling_salesman_problem#tsp You can use scikit-opt, a Python library offering many heuristic optimization algorithms like Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony, Immune Algorithm, and Artificial Fish Swarm Algorithm. It supports user-defined functions to customize operators, allows continuing runs from previous iterations, and accelerates computations via vectorization, multithreading, multiprocessing, and caching. GPU support is in development. It helps solve complex optimization problems such as function minimization and the Traveling Salesman Problem efficiently, with easy installation and rich examples. This saves you time and effort in implementing and tuning optimization algorithms yourself. https://github.com/guofei9987/scikit-opt