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ICML
2003
IEEE
15 years 2 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
15 years 3 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolving musical performance profiles using genetic algorithms with structural fitness
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...
Qijun Zhang, Eduardo Reck Miranda
EUSFLAT
2009
195views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Optimization of an Oil Production System using Neural Networks and Genetic Algorithms
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
Guillermo Jimenez de la Cruz, Jose A. Ruz-Hernande...
JCIT
2010
150views more  JCIT 2010»
14 years 4 months ago
Characteristic Description of Coupled Task Sets Based on Design Structure Matrix and Its Optimal Time and Efforts Solution by Ge
The complicated interactions among tasks lead to iterations in product design and development. To maintain the market share, enterprises should effectively manage their product de...
Ting-gui Chen, Chun-hua Ju