A genetic algorithm tutorial
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Summary
This tutorial covers the canonical genetic algorithm as well as more experimental forms of genetic algorithms, including parallel island models and parallel cellular genetic algorithms.
- Type
- article
- Published
- 1994-06-01
- Cited by
- 4,462
- References
- 57
- Access
- Open access
- OpenAlex
- https://openalex.org/W2047094503
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3447126
Keywords
Hyperplane, Schema (genetic algorithms), Genetic representation, Genetic algorithm, Computer science
References
- Punctuated Equilibria in Genetic Search
- A Survey of Evolution Strategies
- Selection in Massively Parallel Genetic Algorithms
- Artificial intelligence (3rd ed.)
- A Naturally Occurring Niche and Species Phenomenon: The Model and First Results
- A Note on Boltzmann Tournament Selection for Genetic Algorithms and Population-Oriented Simulated Annealing
- Distributed Genetic Algorithms
- How Genetic Algorithms Work: A Critical Look at Implicit Parallelism
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Proceedings of the 6th International Conference on Genetic Algorithms
- Cellular Genetic Algorithms
- A connectionist machine for genetic hillclimbing
- Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution
- A New Interpretation of Schema Notation that Overtums the Binary Encoding Constraint
- Fine-Grained Parallel Genetic Algorithms
- How Genetic Algorithms Really Work: Mutation and Hillclimbing
- An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm
- Reducing Bias and Inefficienry in the Selection Algorithm
- Adaptive Selection Methods for Genetic Algorithms
- Modeling Simple Genetic Algorithms
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- Shape-based multi-spectral optical image reconstruction through genetic algorithm based optimization
- Multi-Step Protocol for Automatic Evaluation of Docking Results Based on Machine Learning Methods - A Case Study of Serotonin Receptors 5-HT6 and 5-HT7
- Massively Parallel Sequential Monte Carlo for Bayesian Inference
- Using evolutionary computation to create vectorial Boolean functions with low differential uniformity and high nonlinearity
- Minimal cost linkages in graphs
- Optimization of q-space sampling for mean apparent propagator MRI metrics using a genetic algorithm
- 'Royal-Road' Landscapes for a Dual Genetic Algorithm
- An Indexed Bibliography of Genetic Algorithms Theory and Comparisons
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- A Comparative Study of Classical Vs Genetic Algorithm Optimization Applied in GPC Controller
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