MOEA/D (Multi-objective evolutionary algorithm based on decomposition) is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems (or simple multi-objective optimization problems) and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.
In order to share and learn from other researchers from the MOEA/D community, to report up-to-date developments and results, and to discuss new ideas, the MOEA/D website provides an active mailing-list, and advertises meetings and workshops held in major conferences from the field in a regular basis.
News and upcoming events
Two 2-year Postdoc Positions are available in the CIAM (Computational Intelligence and Advanced Manufacturing) Group, Southern University of Science and Technology, China. The salary is 330,000 CNY（about 46574 US dollars） per year. For more information, see the website. Please get in touch with wangzk3@sustech.edu.cn if you are interested, or have questions.
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Decomposition-based Techniques in Evolutionary Computation (chair: Ke Li)
New IEEE CIS Task Force on Decomposition-based Techniques in Evolutionary Computation (chair: Ke Li)
New MOEA/D package in R (written by Felipe Campelo, Lucas Batista, Claus Aranha) [sources]
A mirror link of the MOEA/D website is available at http://moead2016mirror2cn.weebly.com
