thieu1995/mealpy:

Version 2.0.0 Change models Update entire the library based on Optimizer class: Add class Problem and class Termination Add 3 training modes (sequential, thread and process) Add visualization charts: Global fitness value after generations Local fitness value after generations Global Objectives chart (For multi-objective functions) Local Objective chart (For multi-objective functions) The Diversity of population chart The Exploration verse Exploitation chart The Running time chart for each iteration (epoch / generation) The Trajectory of some agents after generations My batch-size idea is removed due to the parallel training mode User can define the Stopping Condition based on: Epoch (Generation / Iteration) - default Function Evaluation Early Stopping Time-bound (The running time for a single algorithm for a single task) Change others examples: Update examples for all new algorithms history: Update history of MHA