An introduction to genetic algorithms
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Summary
An Introduction to Genetic Algorithms focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.
- Type
- book
- Published
- 1996-02-27
- Cited by
- 5,372
- References
- 193
- OpenAlex
- https://openalex.org/W2097571405
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:25869059
Keywords
Computer science, Algorithm
References
- Punctuated Equilibria in Genetic Search
- Messy Genetic Algorithms Revisited: Studies in Mixed Size and Scale
- A Simulated Annealing Like Convergence Theory for the Simple Genetic Algorithm
- The Effect of Learning on the Evolution of Asexual Populations
- Preventing Premature Convergence in Genetic Algorithms by Preventing Incest
- An Adaptive Crossover Distribution Mechanism for Genetic Algorithms
- A Genetic Learning Algorithm for the Analysis of Complex Data
- Why AM and EURISKO Appear to Work
- Adaptive computation in ecology and evolution: a guide for future research
- Evolution, Learning, and Culture: Computational Metaphors for Adaptive Algorithms
- Inserting Introns Improves Genetic Algorithm Success Rate: Taking a Cue from Biology
- Genetic Algorithms and Walsh Functions: Part II, Deception and Its Analysis
- Finite Markov Chain Analysis of Genetic Algorithms
- An Experimental Perspective on Genetic Programming
- Numerische Optimierung von Computermodellen mittels der Evo-lutionsstrategie
- A Survey of Evolution Strategies
- Finite Markov Chain Analysis of Genetic Algorithms with Niching
- Evolution of Emergent Computation
- The ARGOT Strategy: Adaptive Representation Genetic Optimizer Technique
- The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 Hyperplanes
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- Optimal design of glass grid shells with quadrilateral elements by means of a genetic algorithm
- Coevolving solutions to the shortest common superstring problem.
- A multiagent genetic algorithm for global numerical optimization
- The Vehicle Routing Problem with Real-Time Travel Times
- Structural damage identification by a hybrid approach: variational method associated with parallel epidemic genetic algorithm
- Discovery of cancer vaccination protocols with a genetic algorithm driving an agent based simulator
- Real world optimal UPFC placement and its impact on reliability
- Cryptanalysis of simplified-DES using computational intelligence
- ESBASCA: A Novel Software Clustering Approach 1
- A building block favoring reordering method for gene positions in genetic algorithms
- Evolutionary Learning of Boolean Queries by Genetic Programming
- Structural Evolution: a genetic algorithm method to generate structurally optimal Delaunay triangulated space frames for dynamic loads
- The evolution of incremental learning: language, development and critical periods
- Computational Maps in the Visual Cortex
- Small saccades versus microsaccades: Experimental distinction and model-based unification.
- An Incremental Approach to Model Based Clustering and Segmentation
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