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TEC
2008
98views more  TEC 2008»
13 years 8 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
BMVC
2010
13 years 6 months ago
Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
Apurva Gala, Shishir Shah
GPEM
2007
71views more  GPEM 2007»
13 years 8 months ago
Integrating generative growth and evolutionary computation for form exploration
We present a novel means of algorithmically describing a growth process that is an extension of Lindenmayer’s Map L-systems. This growth process relies upon a set of rewrite rule...
Una-May O'Reilly, Martin Hemberg
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
14 years 11 days 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
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 2 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...