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The 19 revised full papers presented were carefully reviewed and selected from 46 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic (hybrid) algorithms, iterated local search, variable neighbourhood search, ant colony optimization, artificial immune systems, hyper-heuristics and other adaptive approaches. The applications include both traditional domains, such as graph coloring, knapsack, vehicle routing, job-shop scheduling, the p-median and the orienteering problems; and new(er) domains such as designing deep recurrent neural networks, detecting network community structure, lock scheduling of ships, cloud resource management, the fire-fighter problem and AI planning. The theoretical studies involved approximation ratio, runtime and black-box complexity analyses. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v9026 606 $aNumerical analysis 606 $aAlgorithms 606 $aComputer science$xMathematics 606 $aDiscrete mathematics 606 $aComputer science 606 $aArtificial intelligence 606 $aNumerical Analysis 606 $aAlgorithms 606 $aDiscrete Mathematics in Computer Science 606 $aTheory of Computation 606 $aArtificial Intelligence 615 0$aNumerical analysis. 615 0$aAlgorithms. 615 0$aComputer science$xMathematics. 615 0$aDiscrete mathematics. 615 0$aComputer science. 615 0$aArtificial intelligence. 615 14$aNumerical Analysis. 615 24$aAlgorithms. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aTheory of Computation. 615 24$aArtificial Intelligence. 676 $a005.432 702 $aOchoa$b Gabriela$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChicano$b Francisco$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484492103321 996 $aEvolutionary Computation in Combinatorial Optimization$94206794 997 $aUNINA