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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 8 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
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 8 months ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...
ICC
2007
IEEE
15 years 11 months ago
Simple and Fair Scheduling Algorithm for Combined Input-Crosspoint-Queued Switch
— In this paper, we propose a fair and simple high-performance scheduling algorithm for Combined Input-Crosspoint-Queued Switches, which is called Tracking Fair Quota Allocation ...
Nan Hua, Peng Wang, Depeng Jin, Lieguang Zeng, Bin...
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ICCBR
2005
Springer
15 years 10 months ago
Combining Case-Based Memory with Genetic Algorithm Search for Competent Game AI
We use case-injected genetic algorithms for learning how to competently play computer strategy games. Case-injected genetic algorithms combine genetic algorithm search with a case-...
Sushil J. Louis, Chris Miles
APBC
2004
163views Bioinformatics» more  APBC 2004»
15 years 6 months ago
A Combined Model and a Varied Gibbs Sampling Algorithm Used for Motif Discovery
The conserved sequences in gene regulatory regions dominate gene regulation. Discovering these sequences and their functions is important in post genome era. A novel model is cons...
Xiaoming Wu, Bo Wang, Changxin Song, Jingzhi Cheng