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PPSN
2000
Springer
13 years 9 months ago
A Hybrid GA for the Edge-Biconnectivity Augmentation Problem
In the design of communication networks, robustness against failures in single links or nodes is an important issue. This paper proposes a new approach for the NP-complete edge-bic...
Ivana Ljubic, Günther R. Raidl, Jozef Kratica
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 9 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
JCIT
2010
172views more  JCIT 2010»
13 years 18 days ago
Conditional Sensor Deployment Using Evolutionary Algorithms
Sensor deployment is a critical issue, as it affects the cost and detection capabilities of a wireless sensor network. Although many previous efforts have addressed this issue, mo...
M. Sami Soliman, Guanzheng Tan
CORR
2007
Springer
83views Education» more  CORR 2007»
13 years 5 months ago
Simulation of Phase Combinations in Shape Memory Alloys Patches by Hybrid Optimization Methods
In this paper, phase combinations among martensitic variants in shape memory alloys patches and bars are simulated by a hybrid optimization methodology. The mathematical model is ...
Linxiang X. Wang, Roderick V. N. Melnik
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 9 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa