11. FOGA 2011: Schwarzenberg, Austria
Hans-Georg Beyer, William B. Langdon (Eds.): Foundations of Genetic Algorithms, 11th International Workshop, FOGA 2011, Schwarzenberg, Austria, January 5-8, 2011, Proceedings. ACM 2011 ISBN 978-1-4503-0633-1
Thomas Jansen, Christine Zarges: Analysis of evolutionary algorithms: from computational complexity analysis to algorithm engineering. 1-14
Dirk V. Arnold: On the behaviour of the (1, λ)-es for a simple constrained problem. 15-24
William B. Langdon: Elementary bit string mutation landscapes. 25-42
Elena Popovici, Ezra Winston, Anthony Bucci: On the practicality of optimal output mechanisms for co-optimization algorithms. 43-60
Rémi Coulom, Philippe Rolet, Nataliya Sokolovska, Olivier Teytaud: Handling expensive optimization with large noise. 61-68
Greg Durrett, Frank Neumann, Una-May O'Reilly: Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics. 69-80
Tobias Friedrich, Karl Bringmann, Thomas Voß, Christian Igel: The logarithmic hypervolume indicator. 81-92
Andrew M. Sutton, Darrell Whitley, Adele E. Howe: Approximating the distribution of fitness over hamming regions. 93-104
Lars Kaden, Nicole Weicker, Karsten Weicker: The role of selective pressure when solving symmetric functions in polynomial time. 105-118
Benjamin Doerr, Daniel Johannsen, Martin Schmidt: Runtime analysis of the (1+1) evolutionary algorithm on strings over finite alphabets. 119-126
Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies. 127-138
Dirk Sudholt: Using markov-chain mixing time estimates for the analysis of ant colony optimization. 139-150
Alberto Moraglio: Abstract convex evolutionary search. 151-162
Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Per Kristian Lehre, Markus Wagner, Carola Winzen: Faster black-box algorithms through higher arity operators. 163-172
Stephan Cathabard, Per Kristian Lehre, Xin Yao: Non-uniform mutation rates for problems with unknown solution lengths. 173-180
Jörg Lässig, Dirk Sudholt: Adaptive population models for offspring populations and parallel evolutionary algorithms. 181-192
Alden H. Wright, Tomás Gedeon, J. Neal Richter: On the movement of vertex fixed points in the simple GA. 193-208
Timo Kötzing, Frank Neumann, Dirk Sudholt, Markus Wagner: Simple max-min ant systems and the optimization of linear pseudo-boolean functions. 209-218
Jeffrey Kermes Bassett, Kenneth A. De Jong: Using multivariate quantitative genetics theory to assist in EA customization. 219-230
Luigi Malagò, Matteo Matteucci, Giovanni Pistone: Towards the geometry of estimation of distribution algorithms based on the exponential family. 230-242
Nicola Beume, Marco Laumanns, Günter Rudolph: Convergence rates of SMS-EMOA on continuous bi-objective problem classes. 243-252



