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» Coevolutionary Convergence to Global Optima
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GECCO
2003
Springer
13 years 10 months ago
Coevolutionary Convergence to Global Optima
We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is...
Lothar M. Schmitt
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 8 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
13 years 10 months ago
On identifying global optima in cooperative coevolution
When applied to optimization problems, Cooperative Coevolutionary Algorithms (CCEA) have been observed to exhibit a behavior called relative overgeneralization. Roughly, they tend...
Anthony Bucci, Jordan B. Pollack
CDC
2009
IEEE
168views Control Systems» more  CDC 2009»
13 years 9 months ago
Distributed coverage games for mobile visual sensors (II) : Reaching the set of global optima
— We formulate a coverage optimization problem for mobile visual sensor networks as a repeated multi-player game. Each visual sensor tries to optimize its own coverage while mini...
Minghui Zhu, Sonia Martínez
ICTAI
2010
IEEE
13 years 2 months ago
Metropolis Particle Swarm Optimization Algorithm with Mutation Operator for Global Optimization Problems
When a local optimal solution is reached with classical Particle Swarm Optimization (PSO), all particles in the swarm gather around it, and escaping from this local optima becomes...
Lhassane Idoumghar, M. Idrissi-Aouad, Mahmoud Melk...