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GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
14 years 1 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
CEC
2009
IEEE
14 years 3 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 9 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 2 months ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 2 months ago
Extended probe method for linkage discovery over high-cardinality alphabets
The work addresses the problem of identifying the epistatic linkage of a function from high cardinality alphabets to the real numbers. It is a generalization of Heckendorn and Wri...
Shude Zhou, Zengqi Sun, Robert B. Heckendorn