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» Removing the Genetics from the Standard Genetic Algorithm
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ICIP
1998
IEEE
15 years 11 months ago
An Efficient Motion Estimation Algorithm based on Tracing Techniques on Large Search Windows
Motion estimation represents the most computationally intensive task for all efficient motion compensated compression standards. This fact, despite the several eflorts aiming at r...
Marco Mattavelli, Giorgio Zoia
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 3 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
EVOW
2004
Springer
15 years 3 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...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 4 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
AI
2006
Springer
14 years 10 months ago
Backward-chaining evolutionary algorithms
Starting from some simple observations on a popular selection method in Evolutionary Algorithms (EAs)--tournament selection--we highlight a previously-unknown source of inefficien...
Riccardo Poli, William B. Langdon