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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
16 years 6 days ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
GECCO
2005
Springer
203views Optimization» more  GECCO 2005»
16 years 6 days ago
Ant colony optimization for power plant maintenance scheduling optimization
In order to maintain a reliable and economic electric power supply, the maintenance of power plants is becoming increasingly important. In this paper, a formulation that enables a...
Wai-Kuan Foong, Holger R. Maier, Angus R. Simpson
GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
16 years 6 days ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
16 years 6 days ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood
ICALP
2005
Springer
16 years 6 days ago
Optimal Spaced Seeds for Faster Approximate String Matching
Filtering is a standard technique for fast approximate string matching in practice. In filtering, a quick first step is used to rule out almost all positions of a text as possib...
Martin Farach-Colton, Gad M. Landau, Süleyman...