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GECCO
2000
Springer
113views Optimization» more  GECCO 2000»
13 years 12 months ago
A Non-Linear Schema Theorem for Genetic Algorithms
We generalize Holland's Schema Theorem to the setting that genes are arranged, not necessarily in a linear sequence, but as the nodes in a connected graph. We have experiment...
William A. Greene
ALIFE
1999
13 years 8 months ago
An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
A novel machine language genetic programming system that uses one-dimensional core memories is proposed and simulated. The core is compared to a biochemical reaction space, and in ...
Hikeaki Suzuki
CEC
2008
IEEE
14 years 2 months ago
A contour method in population-based stochastic algorithms
—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...
Ying Lin, Jun Zhang, Lu-kai Lan
CORR
2011
Springer
188views Education» more  CORR 2011»
13 years 3 months ago
Digraph description of k-interchange technique for optimization over permutations and adaptive algorithm system
The paper describes a general glance to the use of element exchange techniques for optimization over permutations. A multi-level description of problems is proposed which is a fund...
Mark Sh. Levin
EVOW
2004
Springer
14 years 1 months ago
Two-Step Genetic Programming for Optimization of RNA Common-Structure
We present an algorithm for identifying putative non-coding RNA (ncRNA) using an RCSG (RNA Common-Structural Grammar) and show the effectiveness of the algorithm. The algorithm con...
Jin-Wu Nam, Je-Gun Joung, Y. S. Ahn, Byoung-Tak Zh...