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GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 11 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
AAAI
2008
15 years 9 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
WSC
2007
15 years 9 months ago
Allocation of simulation runs for simulation optimization
Simulation optimization (SO) is the process of finding the optimum design of a system whose performance measure(s) are estimated via simulation. We propose some ideas to improve o...
Alireza Kabirian, Sigurdur Ólafsson
WSC
2008
15 years 9 months ago
A study on port design automation concept
In this paper, an automation concept is proposed to facilitate the simulation model building for port design problem. Currently, this process, which includes drawing the terminal ...
Loo Hay Lee, Ek Peng Chew, Hai Xing Cheng, Yongbin...
EVOW
2008
Springer
15 years 9 months ago
Compound Particle Swarm Optimization in Dynamic Environments
Adaptation to dynamic optimization problems is currently receiving a growing interest as one of the most important applications of evolutionary algorithms. In this paper, a compoun...
Lili Liu, Dingwei Wang, Shengxiang Yang