EMO is a bi-annual international conference series devoted to Evolutionary Multi-Criterion Optimization. The first EMO was organized in Zurich (Switzerland) in 2001, with later conferences taking place in Faro (Portugal) in 2003, Guanajuato (Mexico) in 2005, Matsushima-Sendai (Japan) in 2007, Nantes (France) in 2009, and Ouro Preto (Brazil) in 2011.
The 7th International Conference on Evolutionary Multi-Criterion Optimization will take place in Sheffield, UK. The event is being organised by the Department of Automatic Control & Systems Engineering, University of Sheffield, which was home to some of the earliest work in the EMO field and retains a strong EMO research theme.
Evolutionary Multi-criterion Optimization
“The field of evolutionary multi-criterion optimization emerged, in the 1990s, as a confluence of the traditional field of multi-objective mathematical programming with the area of evolutionary computation that was emerging at that moment. Dealing with the simultaneous optimization of several criteria, multi-criterion optimization aimed to work with the concept of a set of efficient solutions (also called Pareto-optimal solutions), which represent different trade-off solutions for a given problem, considering the different objectives. Evolutionary computation, which developed powerful heuristic methods with inspiration from the natural phenomena of organization of living organisms, brought much flexibility and insight to the new field, making the EMO algorithms be recognized today as some of the most valuable and promising methods for tackling complex and diverse multi-criterion optimization problems.
The research on EMO focused, along the last two decades, on issues such as the design of efficient algorithmic methods for the approximation of efficient solutions, the problem of measuring the quality of the approximations generated by the algorithms, the hybridization with other currents of optimization, and so forth. A representative sample of this history is registered in the proceedings of the EMO conferences, which have been the forum for the first presentation of several breakthroughs, for the raising of new questions, and for the early indication of new trends within the research community of the area.”
In R.C. Takahashi, K.Deb, E.F. Wanner and S. Greco, eds., Preface to Evolutionary Multi-Criterion Optimization, 6th International Conference, vol. 6576 of Lecture Notes in Computer Science. Berlin, Germany: Springer, 2011. DOI: 10.1007/978-3-642-19893-9