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» Modeling GA Performance for Control Parameter Optimization
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WSC
2000
14 years 10 months ago
Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of autom...
Kok Kiong Tan, K. Z. Tang
GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
15 years 2 months ago
Parameter Adaptation within Co-adaptive Learning Classifier Systems
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
Chung-Yuan Huang, Chuen-Tsai Sun
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
14 years 11 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
WSC
1997
14 years 10 months ago
Collision Awareness Multiple Access Networks Performance Optimization
Collision awareness (CA) multiple access networks include the carrier sense multiple access (CSMA), ALOHA, and Ethernet networks. In order to maximize throughput with minimum netw...
Paul T. R. Wang, Yoon K. Hong
GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
15 years 2 months ago
Tackling an Inverse Problem from the Petroleum Industry with a Genetic Algorithm for Sampling
Abstract. When direct measurement of model parameters is not possible, these need to be inferred indirectly from calibration data. To solve this inverse problem, an algorithm that ...
Pedro J. Ballester, Jonathan N. Carter