A cloud simulation library based on cloudsim, it aims to provide all known cloud scheduling algorithms with the help from community developers, as well as automate various simulation scenarios.

Testing Optimization Algorithms Easier with a New Test Function for Single-Optimization Problems and Validating Evolutionary Algorithms

So sánh hiệu quả của các thuật toán metaheuristic và lớp thuật toán thử sai (ACO, PSO, Greedy, Branch and Bound) trong bài toán Traveling Salesman Problem (TSP).

mlopt is an AutoML library. Implementing some meta-heuristics optimization algorithms to generate fully trained and hyper parameterized ML models. The most used are Genetic Algorithm, PSO Algorithm and ACO Algorithm.

Cloud Dark Data Decarbonization & Green Computing Platform: Dual-model ML detection (XGBoost/RandomForest on 16K disks) with metaheuristic optimization (PSO, ACO, ARAS, WattTime API) and Kubernetes/Prometheus/Grafana observability.

Implementation of ACO algorithm in parallel programming

Bio inspired algorithms in Elixir