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» On the Brittleness of Evolutionary Algorithms
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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
16 years 1 months ago
GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiation
Software agents help automate a variety of tasks including those involved in buying and selling products over the internet. The need for handling complex highly configurable produ...
Magda Bahaa Eldin Fayek, Ihab A. Talkhan, Khalil S...
IPPS
2006
IEEE
16 years 14 days ago
Parallel genetic algorithm for SPICE model parameter extraction
Models of simulation program with integrated circuit emphasis (SPICE) are currently playing a central role in the connection between circuit design and chip fabrication communitie...
Yiming Li, Yen-Yu Cho
EVOW
2007
Springer
16 years 18 days ago
Overcompressing JPEG Images with Evolution Algorithms
Abstract. Overcompression is the process of post-processing compressed images to gain either further size reduction or improved quality. This is made possible by the fact that the ...
Jacques Lévy Véhel, Franklin Mendivi...
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
16 years 18 days ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 7 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou