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EC
2000
96views ECommerce» more  EC 2000»
13 years 6 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
EC
2000
241views ECommerce» more  EC 2000»
13 years 6 months ago
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
To successfully apply evolutionary algorithms to the solution of increasingly complex problems, we must develop effective techniques for evolving solutions in the form of interact...
Mitchell A. Potter, Kenneth A. De Jong
SDL
2001
89views Hardware» more  SDL 2001»
13 years 7 months ago
Some Implications of MSC, SDL and TTCN Time Extensions for Computer-Aided Test Generation
The purpose of this paper is to describe how computer-aided test generation methods can benefit from the time features and extensions to MSC, SDL and TTCN which are either already ...
Dieter Hogrefe, Beat Koch, Helmut Neukirchen
PPSN
2000
Springer
13 years 9 months ago
Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Márk Jelasity
EC
2000
187views ECommerce» more  EC 2000»
13 years 6 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele