20+ algorithms and 100+ problems for single-objective optimization. There are currently 150 algorithms and 339 problems in the platform, including single-objective optimization, multi-objective optimization, many-objective optimization, combinatorial optimization, large-scale optimization, constrained optimization, multimodal optimization, expensive optimization, sparse optimization, and preference optimization.

A totally new GUI with more powerful functions, which contains a test module, an application module, and an experiment module.

A novel filter system based on hybrid labels, which facilitates the selection of suitable algorithms for solving different types of problems.

More convenient interfaces for solving user-defined problems, where no file needs to be written by users.

A better visualization of populations, where the true Pareto fronts and feasible regions can be shown in the plots.