By Francisco Chicano, Bin Hu, Pablo García-Sánchez
This e-book constitutes the refereed court cases of the sixteenth ecu convention on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo*2015 occasions EuroGP, EvoMUSART and EvoApplications.
The 17 revised complete papers provided have been conscientiously reviewed and chosen from forty four submissions. The papers conceal technique, purposes and theoretical stories. The tools incorporated evolutionary and memetic algorithms, variable local seek, particle swarm optimization, hyperheuristics, mat-heuristic and different adaptive ways. functions integrated either conventional domain names, resembling graph coloring, automobile routing, the longest universal subsequence challenge, the quadratic project challenge; and new(er) domain names corresponding to the touring thief challenge, net carrier situation, and discovering brief addition chains. The theoretical reviews concerned health panorama research, neighborhood seek and recombination operator research, and the massive valley seek area speculation. the honour of a number of ambitions, dynamic and noisy environments used to be additionally found in a couple of articles.
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Additional info for Evolutionary Computation in Combinatorial Optimization: 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings
Example text
Res. 169(3), 943–959 (2006) 21. : TSPLIB-A traveling salesman problem library. ORSA J. Comput. 3(4), 376–384 (1991) 22. : Determining whether a problem characteristic affects heuristic performance. , van Hemert, J. ) Recent Advances in Evol. Comp. SCI, vol. 153, pp. 21–35. Springer, Heidelberg (2008) 23. : Analyzing the effect of objective correlation on the efficient set of MNK-landscapes. C. ) LION 2011. LNCS, vol. 6683, pp. 116–130. Springer, Heidelberg (2011) 24. : Pareto local optima of multiobjective NK-landscapes with correlated objectives.
SCI, vol. 153, pp. 21–35. Springer, Heidelberg (2008) 23. : Analyzing the effect of objective correlation on the efficient set of MNK-landscapes. C. ) LION 2011. LNCS, vol. 6683, pp. 116–130. Springer, Heidelberg (2011) 24. : Pareto local optima of multiobjective NK-landscapes with correlated objectives. -K. ) EvoCOP 2011. LNCS, vol. 6622, pp. 226–237. Springer, Heidelberg (2011) 25. : A simulated annealing based genetic local search algorithm for multi-objective multicast routing problems. Ann. Oper.
In concrete, the TTP results from the combination of the TSP and KP. The authors propose a method to create instances of the TTP, so that researchers can compare the results of different approaches. Additionally, the work shows a simple experiment, which studies how the two problems are connected. In concrete they created a simple instance of the TTP, and separately solved the TSP and KP parts to optimality. Then the best solutions found for each sub-problem are combined, and it is shown that this combination does not correspond to the best solution for the TTP.
