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GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 4 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
GPEM
2007
71views more  GPEM 2007»
15 years 3 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
EC
2000
96views ECommerce» more  EC 2000»
15 years 2 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
BIBM
2008
IEEE
112views Bioinformatics» more  BIBM 2008»
15 years 9 months ago
Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information
Mapping B-cell epitopes plays an important role in vaccine design, immunodiagnostic tests, and antibody production. Because the experimental determination of B-cell epitopes is ti...
Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar
IAT
2008
IEEE
15 years 9 months ago
Competency-Based Intelligent Curriculum Sequencing: Comparing Two Evolutionary Approaches
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Although semiautomatic to...
Luis de Marcos, Roberto Barchino, José-Javi...