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» Combining genetic algorithms with squeaky-wheel optimization
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 1 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
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
14 years 1 months ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
14 years 26 days ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
CORR
2007
Springer
83views Education» more  CORR 2007»
13 years 7 months ago
Simulation of Phase Combinations in Shape Memory Alloys Patches by Hybrid Optimization Methods
In this paper, phase combinations among martensitic variants in shape memory alloys patches and bars are simulated by a hybrid optimization methodology. The mathematical model is ...
Linxiang X. Wang, Roderick V. N. Melnik
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 1 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth