articleIEEE Computational Intelligence MagazineOct 11, 2017Closed access

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]

Anhui University · University of Birmingham · +1 more institution

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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…

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Authors

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Topics & keywords

Keywords
  • Computer science
  • Evolutionary algorithm
  • Benchmark (surveying)
  • MATLAB
  • Evolutionary computation
  • Source code
  • Software
  • Graphical user interface
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