# BIMK/PlatEMO

Evolutionary multi-objective optimization platform

Repository: https://github.com/BIMK/PlatEMO
Canonical: https://ross.abutalabs.com/products/platemo
Language: MATLAB
License Family: other
Topics: evolutionary-algorithms, multi-objective-optimization, matlab
Last push: 2026-07-19T11:24:07+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 93, release rhythm 81, longevity 100
- inputs: {"age_days": 2882, "days_push": 45, "days_rel": 45, "gap_med": 67, "n_releases_24m": 8}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2174, forks 530 (observed 2026-08-28T04:06:22.014967+00:00)

## What it is
PlatEMO is a MATLAB-based platform for evolutionary multi-objective optimization developed by BIMK at Anhui University. It provides 300+ open-source evolutionary algorithms, 600+ benchmark problems, and a GUI for running parallel experiments and exporting results to Excel or LaTeX.

## Use cases
- run multi-objective evolutionary algorithms on benchmark problems
- compare new metaheuristic algorithms against state-of-the-art baselines
- visualize Pareto fronts of optimization results
- batch-run optimization experiments in parallel via GUI
- export experiment results as Excel or LaTeX tables
- teach evolutionary computation in courses

## When to choose
- you work in MATLAB and need a wide collection of evolutionary multi-objective algorithms
- you need standard benchmark test problems for multi-objective optimization research
- you want a GUI to design and run optimization experiments without writing harness code
- you need reproducible academic experiments with citable references

## When to avoid
- you need a production optimization solver for business decisions rather than research
- you work outside MATLAB and cannot use MATLAB toolboxes
- you need single-objective or gradient-based optimization primarily
- you require a permissively licensed library for commercial embedding, since PlatEMO has no explicit license and is research-oriented

## Facets
- artifact type: framework
- maturity: active
- function: simulation, benchmarking, data-science, gui, developer-tools
- domain: artificial-intelligence, performance, education
- platform: windows
- tags: evolutionary-algorithms, multi-objective-optimization, matlab, metaheuristics, benchmark-problems, pareto-optimization, gui, academic-research, algorithms, research, linux, macos

## Member repositories
- BIMK/PlatEMO (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:22.014967+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:48:58.187994+00:00, confidence not recorded.
  - readme: https://github.com/BIMK/PlatEMO (fetched 2026-08-28T04:06:22.014967+00:00, sha 8f28db2140f9)
- Data as of 2026-08-30T08:39:29.467469+00:00.