Improving flexibility and efficiency by adding parallelism to genetic algorithms
Statistics and Computing
An Immunological Approach to Combinatorial Optimization Problems
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
When a genetic algorithm outperforms hill-climbing
Theoretical Computer Science
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Coordinating team players within a noisy Iterated Prisoner's Dilemma tournament
Theoretical Computer Science
On Replacement Strategies in Steady State Evolutionary Algorithms
Evolutionary Computation
Understanding the Biases of Generalised Recombination: Part II
Evolutionary Computation
A genetic algorithm calibration method based on convergence due to genetic drift
Information Sciences: an International Journal
Diverse Evolutionary Neural Networks Based on Information Theory
Neural Information Processing
Optimal path planning in rapid prototyping based on genetic algorithm
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Generalized schemata theorem incorporating twin removal for protein structure prediction
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary neural networks for practical applications
DISPAR-tournament: a parallel population reduction operator that behaves like a tournament
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
A clonal selection algorithm for coloring, hitting set and satisfiability problems
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Estimating the evolution direction of populations to improve genetic algorithms
Proceedings of the 14th annual conference on Genetic and evolutionary computation
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Orthogonal exploration of the search space in evolutionary test case generation
Proceedings of the 2013 International Symposium on Software Testing and Analysis
Hybird evolutionary algorithms for artificial neural network training in rainfall forecasting
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection, steady-state selection with varying generation gap, a simple model of Eshelman's CHC algorithm (1991), and (μ+λ) evolution strategies. The effects of changing genetic drift on the convergence of a GA are demonstrated empirically