Title | ||
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Editorial for the Special Issue on Theoretical Foundations of Evolutionary Computation |
Abstract | ||
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Evolutionary computation methods, such as evolutionary algorithms or swarm intelligence algorithms, have been successfully applied to a wide range of difficult problems. These include classical NP-hard combinatorial optimization problems and a variety of hard real-world optimization problems. Real-world problems, in particular, are difficult to solve using traditional search methods because often they are nonlinear, highly constrained, multiobjective, and can include a number of uncertainties. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/TEVC.2014.2350673 | Evolutionary Computation, IEEE Transactions |
Field | DocType | Volume |
Computer science,Evolutionary computation,Theoretical computer science,Artificial intelligence | Journal | 18 |
Issue | ISSN | Citations |
5 | 1089-778X | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Frank Neumann | 1 | 1727 | 124.28 |
Benjamin Doerr | 2 | 1504 | 127.25 |
Per Kristian Lehre | 3 | 627 | 42.60 |
Pauline C. Haddow | 4 | 14 | 2.88 |