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GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
16 years 18 days ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
PERCOM
2005
ACM
16 years 1 days ago
Selection and Navigation of Mobile Sensor Nodes Using a Sensor Network
Hybrid sensor networks comprise of mobile and static sensor nodes setup for the purpose of collaboratively performing tasks like sensing a phenomenon or monitoring a region. In th...
Atul Verma, Hemjit Sawant, Jindong Tan
ICAT
2003
IEEE
15 years 11 months ago
Distance Learning of Chang'an in an Immersive Environment
We have made a computer graphics model of Chang'an City when it was the capital of China during the Tang Dynasty (7-10th century). The real-time rendered images are projected...
Miho Kobayashi, Kei Utsugi, Masami Yamasaki, Haruo...
AAAI
1994
15 years 7 months ago
Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains
1 We have developed an approach to acquire complicated user optimization criteria and use them to guide iterative solution improvement. The eectiveness of the approach was tested ...
Katia P. Sycara, Kazuo Miyashita
CEC
2010
IEEE
15 years 6 months ago
Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm
— In this paper, we illustrate the use of a reference point based many-objective particle swarm optimization algorithm to optimize low-speed airfoil aerodynamic designs. Our fram...
Upali K. Wickramasinghe, Robert Carrese, Xiaodong ...