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Parameterized Complexity Analysis of Evolutionary Algorithms

Published: 11 July 2015 Publication History
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References

[1]
Karl Bringmann and Tobias Friedrich. Parameterized average-case complexity of the hypervolume indicator. In Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO), pages 575-582. ACM Press, 2013.
[2]
Dogan Corus, Per Kristian Lehre, and Frank Neumann. The generalized minimum spanning tree problem: a parameterized complexity analysis of bi-level optimisation. In Christian Blum and Enrique Alba, editors, GECCO, pages 519-526. ACM, 2013.
[3]
Stefan Kratsch, Per Kristian Lehre, Frank Neumann, and Pietro Oliveto. Fixed parameter evolutionary algorithms and maximum leaf spanning trees: A matter of mutation. In Robert Schaefer, Carlos Cotta, Joanna Kolodziej, and Günter Rudolph, editors, Parallel Problem Solving from Nature - PPSN XI, volume 6238 of Lecture Notes in Computer Science, pages 204-213. Springer Berlin / Heidelberg, 2011.
[4]
Stefan Kratsch and Frank Neumann. Fixed-parameter evolutionary algorithms and the vertex cover problem. Algorithmica, 65(4):754-771, 2013.
[5]
Samadhi Nallaperuma, Andrew M. Sutton, and Frank Neumann. Fixed-parameter evolutionary algorithms for the Euclidean traveling salesperson problem. In Evolutionary Computation (CEC), 2013 IEEE Congress on, pages 2037-2044, 2013.
[6]
Frank Neumann and Carsten Witt. Bioinspired Computation in Combinatorial Optimization - Algorithms and Their Computational Complexity. Springer, 2010.
[7]
Andrew M. Sutton, Jareth Day, and Frank Neumann. A parameterized runtime analysis of evolutionary algorithms for MAX-2-SAT. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2012), 2012.
[8]
Andrew M. Sutton and Frank Neumann. A parameterized runtime analysis of simple evolutionary algorithms for makespan scheduling. In Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, and Mario Pavone, editors, Parallel Problem Solving from Nature - PPSN XII, volume 7491 of Lecture Notes in Computer Science, pages 52-61. Springer Berlin Heidelberg, 2012.
[9]
Andrew M. Sutton, Frank Neumann, and Samadhi Nallaperuma. Parameterized runtime analyses of evolutionary algorithms for the planar Euclidean traveling salesperson problem. Evolutionary Computation, (in press), 2014.

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cover image ACM Conferences
GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
July 2015
1568 pages
ISBN:9781450334884
DOI:10.1145/2739482
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 11 July 2015

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