Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Proceedings of the fourth international conference on Genetic algorithms
Proceedings of the fourth international conference on Genetic algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
A classification of long-term evolutionary dynamics
ALIFE Proceedings of the sixth international conference on Artificial life
Models in evolutionary ecology and the validation problem (poster)
ALIFE Proceedings of the sixth international conference on Artificial life
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Machine Learning
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Proceedings of the 1st International Conference on Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
WOPPLOT '89 Workshop on Evolutionary Models and Strategies, Workshop on Parallel Processing: Logic, Organization, and Technology: Parallelism, Learning, Evolution
The evolution of biodiversity: a simulation approach
The evolution of biodiversity: a simulation approach
Genetic algorithms and artificial life
Artificial Life
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Evolutionary computation has developed primarily as an engineering tool for finding solutions to difficult problems. In the shadow of this success, a revolution has been building in evolutionary theory. Evolutionary models, often quite similar to genetic algorithms, are being used to extend our theoretical understanding of biology. Evolutionary models can represent details of the biology that makes analytical models mathematically intractable. Evolutionary models may thus be used as checks on the simplifications of analytical models, as well as formalisms for exploring the consequences of a particular representation of a biological system. In the best of cases, evolutionary models act as biological theories, accounting for previous experimental results and making predictions for future results. In this way, evolutionary models are serving to reunite theoretical biology with experimental biology.