Toward an extrapolation of the simulated annealing convergence theory onto the simple genetic algorithm144438
The Simple Genetic Algorithm: Foundations and Theory
The Simple Genetic Algorithm: Foundations and Theory
Computing Steady State Distributions Without Cancellation
Computing Steady State Distributions Without Cancellation
Simple genetic algorithms with linear fitness
Evolutionary Computation
Selection Analysis in Genetic Algorithms
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Empirical Modelling of Genetic Algorithms
Evolutionary Computation
A Genetic Model: Analysis and Application to MAXSAT
Evolutionary Computation
A genetic system based on simulated crossover of sequences of two-bit genes
Theoretical Computer Science
Logarithmic convergence of random heuristic search
Evolutionary Computation
General cardinality genetic algorithms
Evolutionary Computation
The simple genetic algorithm and the walsh transform: Part i, theory
Evolutionary Computation
The simple genetic algorithm and the walsh transform: Part ii, the inverse
Evolutionary Computation
Theory of the simple genetic algorithm with α-selection
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Theoretical advances in artificial immune systems
Theoretical Computer Science
Fractal Dimension of Trajectory as Invariant of Genetic Algorithms
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
On Convergence of a Simple Genetic Algorithm
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
On Stability and Classification Tools for Genetic Algorithms
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
A new method for modeling the behavior of finite population evolutionary algorithms
Evolutionary Computation
Diophantine benchmarks for the b-cell algorithm
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Analysis of a genetic model with finite populations
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
A Markov chain model of the b-cell algorithm
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
On Stability and Classification Tools for Genetic Algorithms
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
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The infinite-and finite-population models of the simple genetic algorithm are extended and unified, The result incorporates both transient and asymptotic GA behavior. This leads to an interpretation of genetic search that partially explains population trajectories. In particular, the asymptotic behavior of the large-population simple genetic algorithm is analyzed.