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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 8 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 8 months ago
Growth of self-canceling code in evolutionary systems
This research examines the behavior of inoperative code (introns) in the evolution of genetically robust solutions. Genetically robust solutions are solutions that are less likely...
Xue Zhong, Terence Soule
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
13 years 8 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
GECCO
2006
Springer
190views Optimization» more  GECCO 2006»
13 years 8 months ago
Design synthesis of microelectromechanical systems using genetic algorithms with component-based genotype representation
An automated design synthesis system based on a multi-objective genetic algorithm (MOGA) has been developed for the optimization of surface-micromachined MEMS devices. A hierarchi...
Ying Zhang, Raffi R. Kamalian, Alice M. Agogino, C...
GECCO
2006
Springer
190views Optimization» more  GECCO 2006»
13 years 8 months ago
Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system
In this paper, a novel approach for designing chromosome has been proposed to improve the effectiveness, which called multistage operation-based genetic algorithm (moGA). The obje...
Haipeng Zhang, Mitsuo Gen
GECCO
2006
Springer
207views Optimization» more  GECCO 2006»
13 years 8 months ago
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design
A robust dynamic evolutionary algorithm (labeled RODEA), where both the robust calculation and mutation operator are based on an orthogonal design, is proposed in this paper. Prev...
Sanyou Y. Zeng, Rui Wang, Hui Shi, Guang Chen, Hug...
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
13 years 8 months ago
Genetic local search for multicast routing
Mohammed S. Zahrani, Martin J. Loomes, James A. Ma...
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
13 years 8 months ago
A comparative study of immune system based genetic algorithms in dynamic environments
Diversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the everchanging environment in nature. These mechanisms can be integrated i...
Shengxiang Yang
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 8 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
GECCO
2006
Springer
146views Optimization» more  GECCO 2006»
13 years 8 months ago
Evolutionary motion design for humanoid robots
We propose a new approach to generating the motion of humanoid robots intuitively by means of Interactive Evolutionary Computation (IEC). In our system, novice users are able to d...
Toshihiko Yanase, Hitoshi Iba