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CEC
2010
IEEE
14 years 10 months ago
Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
Abstract-- Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic re...
Hui Li, Dario Landa Silva, Xavier Gandibleux
80
Voted
CLEF
2008
Springer
14 years 11 months ago
Robust Question Answering for Speech Transcripts: UPC Experience in QAst 2008
This paper describes the participation of the Technical University of Catalonia in the CLEF 2008 Question Answering on Speech Transcripts track. We have participated in the Englis...
Pere Comas, Jordi Turmo
GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
14 years 10 months ago
Parameter-less evolutionary search
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predefined control parameters values, which are usually used for geneti...
Gregor Papa
73
Voted
CEC
2007
IEEE
15 years 4 months ago
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
Dimo Brockhoff, Eckart Zitzler
SYNASC
2005
IEEE
110views Algorithms» more  SYNASC 2005»
15 years 3 months ago
Performance Tuning of Evolutionary Algorithms Using Particle Sub Swarms
Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. This paper proposes a new particle swarm variant whi...
Crina Grosan, Ajith Abraham, Monica Nicoara