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» On Using Populations of Sets in Multiobjective Optimization
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DATE
2007
IEEE
88views Hardware» more  DATE 2007»
15 years 6 months ago
Trade-off design of analog circuits using goal attainment and "Wave Front" sequential quadratic programming
One of the main tasks in analog design is the sizing of the circuit parameters, such as transistor lengths and widths, in order to obtain optimal circuit performances, such as hig...
Daniel Mueller, Helmut E. Graeb, Ulf Schlichtmann
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 3 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
CEC
2005
IEEE
15 years 5 months ago
Improvements to the scalability of multiobjective clustering
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
Julia Handl, Joshua D. Knowles
TEC
2010
203views more  TEC 2010»
14 years 6 months ago
Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology
Niching is an important technique for multimodal optimization. Most existing niching methods require specification of certain niching parameters in order to perform well. These nic...
Xiaodong Li
TACAS
2007
Springer
165views Algorithms» more  TACAS 2007»
15 years 5 months ago
Multi-objective Model Checking of Markov Decision Processes
We study and provide efficient algorithms for multi-objective model checking problems for Markov Decision Processes (MDPs). Given an MDP, M, and given multiple linear-time (ω-regu...
Kousha Etessami, Marta Z. Kwiatkowska, Moshe Y. Va...