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Evolutionary systems

Evolutionary systems are a type of system, which reproduce with mutation whereby the most fit elements survive, and the less fit die down. One of the… 
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Related topics

Related topics

5 relations
Complex systemEvolutionary informaticsRussell K. StandishSoftware prototyping

Broader (1)

Systems theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Generalized Prandtl-Ishlinskii operators arising from homogenization and dimension reduction
Highly Cited
2006
Highly Cited
2006
Evolutionary design in a multi-agent design environment
2006
2006
Building the Core Architecture of a NASA Multiagent System Product Line
The field of Software Product Lines (SPL) emphasizes building a family of software products from which concrete products can be… 
2004
2004
A framework for evolutionary, dynamically updatable, component-based systems
Many distributed applications require 24/7/365 availability, and still need to be updated. We analyze how to update such… 
2004
2004
Asymmetric cell division and its integration with other developmental processes for artificial evolutionary systems
Artificial evolutionary techniques are more and more coupled with mechanisms abstracted from developmental biology. Artificial… 
Review
2004
Review
2004
Darwin + Robots = Evolutionary Robotics: Challenges in Automatic Robot Synthesis
This paper reviews the use of artificial evolution as a means for automatic generation of locomotion controllers for physical… 
2003
2003
Improving genetic classifiers with a boosting algorithm
We present a boosting genetic algorithm for classification rule discovery. The method is based on the iterative rule learning… 
2002
2002
Discovery of the Boolean Functions to the Best Density-Classification Rules Using Gene Expression Programming
Cellular automata are idealized versions of massively parallel, decentralized computing systems capable of emergent behaviors… 
1998
1998
The biology of religion: A Darwinian gospel
Highly Cited
1994
Highly Cited
1994
Learning and complexity in genetic auto-adaptive systems
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