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IIS
2000
15 years 7 days ago
Speeding Up Evolution through Learning: LEM
This paper reports briefly on the development of a new approach to evolutionary computation, called the Learnable Evolution Model or LEM. In contrast to conventional Darwinian-typ...
Ryszard S. Michalski, Guido Cervone, Kenneth A. Ka...
EMO
2001
Springer
132views Optimization» more  EMO 2001»
15 years 3 months ago
Multi-objective Evolutionary Design of Fuzzy Autopilot Controller
Abstract. A multi-objective evolutionary algorithm is used to determine the membership function distribution within the outer loop control system of a non-linear missile autopilot ...
Anna L. Blumel, Evan J. Hughes, Brian A. White
COR
2008
164views more  COR 2008»
14 years 11 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
CEC
2007
IEEE
15 years 5 months ago
Self-adaptation of mutation distribution in evolutionary algorithms
— This paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpo...
Renato Tinós, Shengxiang Yang
94
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EC
2000
96views ECommerce» more  EC 2000»
14 years 10 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