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» An evolutionary method for complex-process optimization
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CEC
2005
IEEE
15 years 6 months ago
A population-based, steady-state procedure for real-parameter optimization
Despite the existence of a number of procedures for real-parameter optimization using evolutionary algorithms, there is still a need of a systematic and unbiased comparison of diļ...
Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb
98
Voted
ICANNGA
2009
Springer
163views Algorithms» more  ICANNGA 2009»
15 years 4 months ago
Elitistic Evolution: An Efficient Heuristic for Global Optimization
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
Francisco Viveros Jiménez, Efrén Mez...
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 years 6 months ago
Evaluating Evolutionary Testability with Software-Measurements
Test case design is the most important test activity with respect to test quality. For this reason, a large number of testing methods have been developed to assist the tester with ...
Frank Lammermann, André Baresel, Joachim We...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 11 days ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
149
Voted
TFS
2008
157views more  TFS 2008»
15 years 1 days ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin