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ORCID10th FOGA 2009: Orlando, Florida, USA
- Ivan I. Garibay, Thomas Jansen, R. Paul Wiegand, Annie S. Wu:
Foundations of Genetic Algorithms, 10th ACM SIGEVO International Workshop, FOGA 2009, Orlando, Forida, USA, January 9-11, 2009, Proceedings. ACM 2009, ISBN 978-1-60558-414-0
Continuous optimization
- Steffen Finck
, Hans-Georg Beyer:
Weighted recombination evolution strategy on a class of PDQF's. 1-12 - Carsten Witt:
Why standard particle swarm optimisers elude a theoretical runtime analysis. 13-20
Combinatorial optimization
- Joachim Reichel, Martin Skutella:
On the size of weights in randomized search heuristics. 21-28 - Gero Greiner:
Single- and multi-objective evolutionary algorithms for graph bisectioning. 29-38 - Christine Zarges:
On the utility of the population size for inversely fitness proportional mutation rates. 39-46 - Per Kristian Lehre, Xin Yao:
On the impact of the mutation-selection balance on the runtime of evolutionary algorithms. 47-58 - Surender Baswana, Somenath Biswas, Benjamin Doerr, Tobias Friedrich, Piyush P. Kurur, Frank Neumann:
Computing single source shortest paths using single-objective fitness. 59-66 - Gautham Anil, R. Paul Wiegand:
Black-box search by elimination of fitness functions. 67-78
Multi-objective optimization
- Christian Horoba, Frank Neumann:
Additive approximations of pareto-optimal sets by evolutionary multi-objective algorithms. 79-86 - Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point. 87-102 - Karl Bringmann, Tobias Friedrich:
Don't be greedy when calculating hypervolume contributions. 103-112 - Christian Horoba:
Analysis of a simple evolutionary algorithm for the multiobjective shortest path problem. 113-120
Co-optimization
- Travis C. Service:
Unbiased coevolutionary solution concepts. 121-130 - John Michael Butterworth, Jonathan L. Shapiro:
Stability of learning dynamics in two-agent, imperfect-information games. 131-140 - Christopher Vo, Liviu Panait, Sean Luke:
Cooperative coevolution and univariate estimation of distribution algorithms. 141-150 - Elena Popovici, Kenneth A. De Jong:
Monotonicity versus performance in co-optimization. 151-170
Problem analysis
- Alberto Moraglio, Yossi Borenstein:
A gaussian random field model of smooth fitness landscapes. 171-182 - Riccardo Poli, Mario Graff, Nicholas Freitag McPhee:
Free lunches for function and program induction. 183-194
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