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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
13 years 9 months ago
Objective fitness correlation
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient...
Edwin D. de Jong
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
13 years 7 months ago
A comparison of evaluation methods in coevolution
In this research, we compare four different evaluation methods in coevolution on the Majority Function problem. The size of the problem is selected such that an evaluation against...
Ting-Shuo Yo, Edwin D. de Jong
GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
13 years 8 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
ICIP
2001
IEEE
14 years 5 months ago
A new video-object watermarking scheme robust to object manipulation
This paper presents a watermarking scheme for image or video objects. The watermarking of video objects implies different constraints from raw watermarking methods. The mark has t...
Patrick Bas, Benoit M. Macq
ECAI
2004
Springer
13 years 9 months ago
Local Search Heuristics: Fitness Cloud versus Fitness Landscape
This paper introduces the concept of fitness cloud as an alternative way to visualize and analyze search spaces than given by the geographic notion of fitness landscape. It is ar...
Philippe Collard, Sébastien Vérel, M...