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» On the Brittleness of Evolutionary Algorithms
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GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 11 months ago
Providing information from the environment for growing electronic circuits through polymorphic gates
This paper deals with the evolutionary design of programs (constructors) that are able to create (n+2)-input circuits from n-input circuits. The growing circuits are composed of p...
Michal Bidlo, Lukás Sekanina
GECCO
2005
Springer
166views Optimization» more  GECCO 2005»
15 years 11 months ago
The emulation of social institutions as a method of coevolution
This paper offers a novel approach to coevolution based on the sociological theory of symbolic interactionism. It provides a multi-agent computational model along with experimenta...
Deborah Vakas Duong, John J. Grefenstette
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 11 months ago
A developmental genetics-inspired approach to robot control
The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by deve...
Sanjeev Kumar
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
15 years 11 months ago
Resource-limited genetic programming: the dynamic approach
Resource-Limited Genetic Programming is a bloat control technique that imposes a single limit on the total amount of resources available to the entire population, where resources ...
Sara Silva, Ernesto Costa
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 11 months ago
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
Kagan Tumer, Adrian K. Agogino