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CEC
2008
IEEE
13 years 11 months ago
Memetic Gradient Search
—This paper reviews the different gradient-based schemes and the sources of gradient, their availability, precision and computational complexity, and explores the benefits of usi...
Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong ...
CEC
2008
IEEE
13 years 11 months ago
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
CEC
2008
IEEE
13 years 11 months ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
AMC
2004
115views more  AMC 2004»
13 years 4 months ago
Performance comparison of memetic algorithms
Local search techniques have been applied in optimization methods. The effect of local search to the memetic algorithms can make multimodal and non-linear problems easier to solve...
Jason G. Digalakis, Konstantinos G. Margaritis
CEC
2007
IEEE
13 years 11 months ago
A study on the design issues of Memetic Algorithm
— Over the recent years, there has been increasing research activities made on improving the efficacy of Memetic Algorithm (MA) for solving complex optimization problems. Partic...
Q. H. Nguyen, Yew-Soon Ong, Natalio Krasnogor