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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 10 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 2 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
GECCO
2006
Springer
190views Optimization» more  GECCO 2006»
14 years 26 days 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
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 3 months ago
Genetic algorithms for large join query optimization
Genetic algorithms (GAs) have long been used for large join query optimization (LJQO). Previous work takes all queries as based on one granularity to optimize GAs and compares the...
Hongbin Dong, Yiwen Liang
ICGA
1997
134views Optimization» more  ICGA 1997»
13 years 10 months ago
Local Search Genetic Algorithm for Optimization of Highly Reliable Communications Networks
This paper presents a genetic algorithm (GA) with specialized encoding, initialization and local search genetic operators to optimize communication network topologies. This NPhard...
Berna Dengiz, Fulya Altiparmak, Alice E. Smith