Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Co-evolving parasites improve simulated evolution as an optimization procedure
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Machine Learning - Special issue on genetic algorithms
Extended classifiers for simulation of adaptive behavior
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Instinct as an inductive bias for learning behavioral sequences
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Exploring adaptive agency II: simulating the evolution of associative learning
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Lookahead planning and latent learning in a classifier system
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Genetic-algorithm-based learning
Machine learning
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Evolving artificial intelligence
Evolving artificial intelligence
Issues in evolutionary robotics
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Evolving cellular automata to perform computations: mechanisms and impediments
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Genetic Algorithms and Robotics
Genetic Algorithms and Robotics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Learning Sequential Decision Rules Using Simulation Models and Competition
Machine Learning - Special issue on genetic algorithms
Classifier Systems and the Animat Problem
Machine Learning
Knowledge Growth in an Artificial Animal
Proceedings of the 1st International Conference on Genetic Algorithms
Designing Neural Networks using Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
How Genetic Algorithms Work: A Critical Look at Implicit Parallelism
Proceedings of the 3rd International Conference on Genetic Algorithms
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
The Puzzle of the Persistent Question Marks: A Case Study of Genetic Drift
Proceedings of the 5th International Conference on Genetic Algorithms
Interposing an Ontogenetic Model Between Genetic Algorithms and Neural Networks
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Exploring Adaptive Agency III: Simulating the Evolution of Habituation and Sensitization
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Intelligent behavior as an adaptation to the task environment
Intelligent behavior as an adaptation to the task environment
Two essays on the economics of imperfect information
Two essays on the economics of imperfect information
Searching for diverse, cooperative populations with genetic algorithms
Evolutionary Computation
Using genetic algorithms to explore pattern recognition in the immune system
Evolutionary Computation
Training feedforward neural networks using genetic algorithms
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
A few new features for genetic algorithms
ACM-SE 36 Proceedings of the 36th annual Southeast regional conference
Evolutionary computation for evolutionary theory
Advances in evolutionary computing
Adequacy of training data for evolutionary mining of trading rules
Decision Support Systems - Special issue: Data mining for financial decision making
IEEE Transactions on Parallel and Distributed Systems
Memetic algorithms for parallel code optimization
International Journal of Parallel Programming
New methods for competitive coevolution
Evolutionary Computation
Crossover accelerates evolution in gas with a babel-like fitness landscape: Mathematical analyses
Evolutionary Computation
Simulating Evolution of Drosophila Melanogaster Ebony Mutants Using a Genetic Algorithm
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Bayesian network modeling for evolutionary genetic structures
Computers & Mathematics with Applications
Minimising the delta test for variable selection in regression problems
International Journal of High Performance Systems Architecture
Exploring generation of a genetic robot's personality through neural and evolutionary means
Data & Knowledge Engineering
New operators for faster convergence and better solution quality in modified genetic algorithm
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Compactness in spatial decision support: a literature review
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part I
Online learning in a chemical perceptron
Artificial Life
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Genetic algorithms are computational models of evolution that play a central role in many artificial-life models. We review the history and current scope of research on genetic algorithms in artificial life, giving illustrative examples in which the genetic algorithm is used to study how learning and evolution interact, and to model ecosystems, immune system, cognitive systems, and social systems. We also outline a number of open questions and future directions for genetic algorithms in artificial-life research.