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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 9 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 2 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
DATE
2005
IEEE
148views Hardware» more  DATE 2005»
14 years 1 months ago
A Dependability-Driven System-Level Design Approach for Embedded Systems
The objective of this paper is to introduce dependability as an optimization criterion in the system-level design process of embedded systems. Given the pervasiveness of embedded ...
Arshad Jhumka, Stephan Klaus, Sorin A. Huss
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 1 months ago
Harmony search for structural design
Various algorithms have been developed and applied to structural optimization, in which cross-sectional areas of structure members are assumed to be continuous. In most cases of p...
Zong Woo Geem, Kang Seok Lee, Chung-Li Tseng
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 1 months ago
Niching in evolution strategies
Evolutionary Algorithms (EAs), popular search methods for solving search and optimization problems, are known for successful and fast location of single optimal solutions. However,...
Ofer M. Shir, Thomas Bäck