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GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
15 years 3 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
15 years 3 months ago
New evolutionary techniques for test-program generation for complex microprocessor cores
Checking if microprocessor cores are fully functional at the end of the productive process has become a major issue. Traditional functional approaches are not sufficient when cons...
Ernesto Sánchez, Massimiliano Schillaci, Ma...
GECCO
2005
Springer
219views Optimization» more  GECCO 2005»
15 years 3 months ago
An evolutionary lagrangian method for the 0/1 multiple knapsack problem
We propose a new evolutionary approach to solve the 0/1 multiple knapsack problem. We approach the problem from a new viewpoint different from traditional methods. The most remar...
Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon
GECCO
2005
Springer
207views Optimization» more  GECCO 2005»
15 years 3 months ago
Adaptive crossover and mutation in genetic algorithms based on clustering technique
Instead of having fixed px and pm, this paper presents the use of fuzzy logic to adaptively tune px and pm for optimization of power electronic circuits throughout the process. By...
Jun Zhang, Henry Shu-Hung Chung, Jinghui Zhong
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 3 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...