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HAIS
2009
Springer
13 years 11 months ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...
NLP
2000
13 years 10 months ago
Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms
Abstract. The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MA...
Constantin Orasan, Richard Evans, Ruslan Mitkov
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
13 years 11 months ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
AIPS
2003
13 years 7 months ago
A Multi-Heuristic GA for Schedule Repair in Precast Plant Production
A multi-heuristic schedule repair model for schedule conflict resolution is presented and its application in repairing the schedules of a prefabrication plant is described in this...
Weng Tat Chan, Tan Heng Wee
CEC
2009
IEEE
13 years 11 months ago
Automatic clustering with multi-objective Differential Evolution algorithms
—This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performa...
Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swaga...