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» Modeling GA Performance for Control Parameter Optimization
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CEC
2005
IEEE
15 years 3 months ago
Making soccer kicks better: a study in particle swarm optimization and evolution strategies
Biomechanics is a science of examining the internal and external forces on the human body. In biomechanics, forward dynamics simulation models can be used to study optimal control ...
Namrata Khemka, Christian Jacob, Gerald Cole
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
15 years 7 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
SAC
1998
ACM
15 years 5 months ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...
CDC
2009
IEEE
129views Control Systems» more  CDC 2009»
14 years 11 months ago
Adaptive control using retrospective cost optimization with RLS-based estimation for concurrent Markov-parameter updating
We present a discrete-time adaptive control law that is effective for systems that are MIMO and either minimum phase or nonminimum phase. The adaptive control algorithm provides gu...
Mario A. Santillo, Matthew S. Holzel, Jesse B. Hoa...
ICC
2007
IEEE
118views Communications» more  ICC 2007»
15 years 7 months ago
Single and Multiple Parameters Sensitivity Study of Location Management Area Partitioning for GSM Networks
–- To obtain optimal location area (LA) partitioning in cellular radio networks is important since it maximizes the usable bandwidth to support services. However, we feel that th...
Yong Huat Chew, Boon Sain Yeo, Daniel Chien Ming K...