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ESANN
2001
15 years 17 days ago
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
Karl-Theodor Kalveram, Ulrich Nakte
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 2 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 2 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...
DATE
1999
IEEE
194views Hardware» more  DATE 1999»
15 years 3 months ago
Algorithms for Solving Boolean Satisfiability in Combinational Circuits
Boolean Satisfiability is a ubiquitous modeling tool in Electronic Design Automation, It finds application in test pattern generation, delay-fault testing, combinational equivalen...
Luís Guerra e Silva, Luis Miguel Silveira, ...
ICC
2007
IEEE
15 years 5 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...