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GECCO
2006
Springer
216views Optimization» more  GECCO 2006»
15 years 8 months ago
Comparative analysis of the sailor assignment problem
In this work the performance of several local search and metaheuristic methods is compared to previously reported work using evolutionary algorithms. The results show that while m...
Joseph Vannucci, Deon Garrett, Dipankar Dasgupta
ICML
2003
IEEE
16 years 5 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 10 months ago
Multi-level genetic algorithm (MLGA) for the construction of clock binary tree
The clock signal and clock skew become more and more important for the circuit performance. Since there are salient shortcomings in the conventional topology construction algorith...
Guofang Nan, Minqiang Li, Jisong Kou
CORR
2010
Springer
70views Education» more  CORR 2010»
15 years 4 months ago
The Deterministic Dendritic Cell Algorithm
Abstract. The Dendritic Cell Algorithm is an immune-inspired algorithm originally based on the function of natural dendritic cells. The original instantiation of the algorithm is a...
Julie Greensmith, Uwe Aickelin
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 11 months ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...