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GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
16 years 21 days ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
16 years 21 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
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
16 years 21 days ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
16 years 21 days ago
Memory-based immigrants for genetic algorithms in dynamic environments
Investigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent year...
Shengxiang Yang
ICCBR
2005
Springer
16 years 21 days ago
On the Effectiveness of Automatic Case Elicitation in a More Complex Domain
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
Siva N. Kommuri, Jay H. Powell, John D. Hastings