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GECCO
2007
Springer
16 years 28 days ago
2007
Springer
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
152
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GECCO
2007
Springer
16 years 28 days ago
2007
Springer
The artificial immune system approach for self-nonself discrimination and its application to anomaly detection problems in engineering is showing great promise. A seminal contribu...
173
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GECCO
2007
Springer
16 years 28 days ago
2007
Springer
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
182
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GECCO
2007
Springer
16 years 28 days ago
2007
Springer
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
173
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GECCO
2007
Springer
16 years 28 days ago
2007
Springer
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...