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» On Using Populations of Sets in Multiobjective Optimization
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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 3 months ago
Optimal antenna placement using a new multi-objective chc algorithm
Radio network design (RND) is a fundamental problem in cellular networks for telecommunications. In these networks, the terrain must be covered by a set of base stations (or anten...
Antonio J. Nebro, Enrique Alba, Guillermo Molina, ...
86
Voted
EMO
2006
Springer
124views Optimization» more  EMO 2006»
15 years 1 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
ICPR
2008
IEEE
15 years 3 months ago
A new multiobjective simulated annealing based clustering technique using stability and symmetry
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
Sriparna Saha, Sanghamitra Bandyopadhyay
CEC
2008
IEEE
15 years 4 months ago
Parallel multi-objective optimization using Master-Slave model on heterogeneous resources
Abstract— In this paper, we study parallelization of multiobjective optimization algorithms on a set of hetergeneous resources based on the Master-Slave model. Master-Slave model...
Sanaz Mostaghim, Jürgen Branke, Andrew Lewis,...
CEC
2010
IEEE
14 years 10 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...