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108
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CEC
2008
IEEE
15 years 9 months ago
On the usefulness of infeasible solutions in evolutionary search: A theoretical study
— Evolutionary algorithms (EAs) have been widely used in optimization, where infeasible solutions are often encountered. Some EAs regard infeasible solutions as useless individua...
Yang Yu, Zhi-Hua Zhou
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 6 months ago
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation
The toxicity of an anticancer drug is cleared from the body by different processes, including saturable metabolic and nonsaturable renal-excretion pathways. According to the princ...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
116
Voted
CCGRID
2004
IEEE
15 years 6 months ago
Evolutionary molecular structure determination using Grid-enabled data mining
A new computational framework is developed for the evolutionary determination of molecular crystal structures using the Shake-and-Bake methodology. Genetic algorithms are performe...
Mark L. Green, Russ Miller
131
Voted
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 9 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
189
Voted
HIS
2001
15 years 4 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham