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GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 10 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
ICARIS
2007
Springer
14 years 2 months ago
An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Comp
Today’s signature-based intrusion detection systems are reactive in nature and storage-limited. Their operation depends upon catching an instance of an intrusion or virus and en...
Charles R. Haag, Gary B. Lamont, Paul D. Williams,...
ICES
2001
Springer
100views Hardware» more  ICES 2001»
14 years 1 months ago
Evolutionary Design Calibration
Abstract. Evolutionary methods are now beginning to be used routinely in design applications. However, even with computing speeds growing continuously, for many complex design prob...
Thorsten Schnier, Xin Yao
JUCS
2008
172views more  JUCS 2008»
13 years 8 months ago
A Hybrid Transgenetic Algorithm for the Prize Collecting Steiner Tree Problem
: Evolutionary algorithms are effective search tools for tackling difficult optimization problems. In this paper an algorithm based on living processes where cooperation is the mai...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
14 years 12 days ago
Improving EAs for Sequencing Problems
Sequencing problems have to be solved very often in VLSI CAD. To obtain results of high quality, Evolutionary Algorithms (EAs) have been successfully applied in many cases. Howeve...
Wolfgang Günther, Rolf Drechsler