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EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
ECAL
2005
Springer
14 years 2 months ago
CoEvolutionary Incremental Modelling of Robotic Cognitive Mechanisms
Abstract. Recently, brain models attempt to support cognitive abilities of artificial organisms. Incremental approaches are often employed to support modelling process. The presen...
Michail Maniadakis, Panos E. Trahanias
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
14 years 2 months ago
Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms
While operating a crane for maximum productivity, the time of operation and the required energy are two important conflicting factors faced by a crane operator. In such a case, tr...
Kalyanmoy Deb, Naveen Kumar Gupta
CEC
2003
IEEE
14 years 2 months ago
An evolutionary approach to microstructure optimisation of stereolithographic models
The aim of this work is to utilize an evolutationary algorithm to evolve the microstructure of an object created by a stereolithography machine. This should be optimised to be able...
Siavash Haroun Mahdavi, Sean Hanna
ICTAI
2003
IEEE
14 years 2 months ago
Engineering Optimization Using a Simple Evolutionary Algorithm
This paper presents a simple ¢¤£¦¥¨§© Evolution Strategy and three simple selection criteria to solve engineering optimization problems. This approach avoids the use of a...
Efrén Mezura-Montes, Carlos A. Coello Coell...