Latest News
View All News→September 9, 2026
EvoX v1.4.0 Release Note
EvoX v1.4.0 is a maintenance release focused on bug fixes, compatibility improvements and polish across the framework, alongside the announcement of EvoX Genesis.
Read More →October 9, 2026
EvoCoCo: Automatic MATLAB-to-EvoX Code Conversion for GPU-Accelerated Multiobjective Optimization
EvoCoCo converts MATLAB multiobjective evolutionary algorithms into GPU-accelerated EvoX implementations through semantics-guided tensorization, execution feedback, and multi-agent validation. Evaluated on 48 algorithms, it achieves 88.2% optimization-fidelity coverage.
Read More →August 25, 2026
AutoPSO: GPU Computing Power × Meta-Evolution → Fully Automatic Particle Swarm Optimization
The EvoX team's AutoPSO, published in IEEE TEVC, encodes the parameter configuration, learning mechanisms, and swarm structure of PSO into a searchable evolutionary space, and automatically searches for the optimal PSO variant for a given target problem through meta-evolution.
Read More →Ecosystem
Feature Projects
Explore a rich ecosystem of libraries, tools, and more to support development.
AutoPSO
A meta-framework for automated Particle Swarm Optimization that automatically constructs PSO variants through black-box optimization on GPUs.
EvoCmo
A fully tensorized, GPU-accelerated multi-population evolutionary algorithm for efficiently solving constrained multi-objective optimization problems (CMOPs).
EvoCoCo
A multi-agent framework for semantics-guided automatic tensorization of evolutionary multiobjective optimization (EMO) software.
Community
Join the EvoX developer community to contribute, learn, and get your questions answered.