PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
Anhui University · University of Birmingham · +1 more institution
Abstract
Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and comprehensive software platform for researchers to properly benchmark existing algorithms and for practitioners to apply selected algorithms to solve their real-world problems. The demand of such a common tool becomes even more urgent, when the source code of many proposed algorithms has not been made publicly available. To address these issues, we have developed a MATLAB platform for evolutionary multi-objective optimization in this paper, called PlatEMO, which includes more than 50 multiobjective evolutionary algorithms and more…
Citation impact
- FWCI
- 90.64
- Percentile
- 100%
- References
- 115
Authors
4Topics & keywords
- Computer science
- Evolutionary algorithm
- Benchmark (surveying)
- MATLAB
- Evolutionary computation
- Source code
- Software
- Graphical user interface