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User Guide
Installation Guide
Python Installation Guide
EvoX Installation Guide
Windows with GPU acceleration
Video Installation Guide
User Guide
Quick Start
Working with extended applications
Distributed Training
Container Algorithms
Developer Guide
Working with state in EvoX
Jit-able components
Custom algorithms and problems in EvoX
Write & Build the Documentation
Experimental Features
Multidevice Algorithm
EvoXVision Support
API Reference
Core Classes
Algorithm Class
Module Class
Problem Class
State Class
Algorithms
Single-objective
AMaLGaM
ARS
ASEBO
CLPSO
CMA-ES
CoDE
CR-FM-NES
CSO
DE
DES
DMS-PSO-EL
ESMC
FIPS
GuidedES
JaDE
LES
MA-ES
xNES
Noise-Reuse-ES
ODE
OpenES
PersistentES
PGPE
PSO
RMES
SaDE
SHADE
SL-PSO-GS
SL-PSO-US
SNES
SWMMPSO
Multi-objective
BCEIBEA
BiGE
EAG-MOEA/D
GDE3
HypE
IBEA
KnEA
LMOCSO
MOEA/D
MOEA/D-DRA
MOEA/D-M2M
NSGA-II
NSGA-III
RVEA
SPEA2
SRA
tDEA
RVEAa
IMMOEA
Containers
Cooperative Coevolution
Clustered Algorithm
Tree Algorithm
Problems
Numerical Benchmarks
Test functions
Ackley
Griewank
Rastrigin
Rosenbrock
Schwefel
Sphere
Test suits
CEC2022 Test Suit
DTLZ Test Suit
LSMOP Test Suit
MaF Test Suit
ZDT Test Suit
Neuroevolution
Reinforcement Learning
Brax-based Problem
Gym
Env Pool
Supervised Learning
Tensorflow Dataset
Workflows
Standard Workflow
Monitors
Evaluation Monitor
Population Monitor
Metrics
Hypervolume
Generational Distance
Inverted Generational Distance
Additional Resources
Examples
Numerical Optimization
Custom algorithm and problem
Classic control with Gym
Solving Pong with EvoX
Tensorflow datasets in EvoX
Miscellaneous
Selecting GPU / CPU
High VRAM usage
.rst
.pdf
MOEA/D-M2M
MOEA/D-M2M
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