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12th FOGA 2013: Adelaide, SA, Australia
- Frank Neumann, Kenneth A. De Jong:
Foundations of Genetic Algorithms XII, FOGA '13, Adelaide, SA, Australia, January 16-20, 2013. ACM 2013, ISBN 978-1-4503-1990-4
Full papers
- Youhei Akimoto, Yann Ollivier:
Objective improvement in information-geometric optimization. 1-10 - Hans-Georg Beyer
, Michael Hellwig
Controlling population size and mutation strength by Meta-ES under fitness noise. 11-24 - Davide Bresolin
Finite satisfiability of propositional interval logic formulas with multi-objective evolutionary algorithms. 25-36 - Keki M. Burjorjee:
Explaining optimization in genetic algorithms with uniform crossover. 37-50 - Benjamin Doerr, Dirk Sudholt, Carsten Witt
When do evolutionary algorithms optimize separable functions in parallel? 51-64 - Matthias Feldmann, Timo Kötzing:
Optimizing expected path lengths with ant colony optimization using fitness proportional update. 65-74 - Erik Hemberg, Constantin Berzan, Kalyan Veeramachaneni, Una-May O'Reilly:
Introducing graphical models to analyze genetic programming dynamics. 75-86 - Thomas Jansen
Approximating vertex cover using edge-based representations. 87-96 - Per Kristian Lehre, Ender Özcan
A runtime analysis of simple hyper-heuristics: to mix or not to mix operators. 97-104 - Alan J. Lockett, Risto Miikkulainen:
A measure-theoretic analysis of stochastic optimization. 105-118 - Alberto Moraglio
Runtime analysis of mutation-based geometric semantic genetic programming on boolean functions. 119-132 - Boris Mitavskiy, Jun He
A further generalization of the finite-population geiringer-like theorem for pomdps to allow recombination overarbitrary set covers. 133-146 - Samadhi Nallaperuma, Markus Wagner
A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem. 147-160 - Anh Nguyen, Tommaso Urli, Markus Wagner
Single- and multi-objective genetic programming: new bounds for weighted order and majority. 161-172 - Yan Pei
Triple and quadruple comparison-based interactive differential evolution and differential evolution. 173-182 - Jérémie Decock, Olivier Teytaud:
Noisy optimization complexity under locality assumption. 183-190
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