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» The Spatially-Dispersed Genetic Algorithm
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GECCO
2005
Springer
177views Optimization» more  GECCO 2005»
14 years 3 months ago
Evolving next generation signal compression and reconstruction transforms via genetic algorithms
Ongoing research has established a new methodology for using genetic algorithms [2] to evolve forward and inverse transforms that significantly reduce quantization error in recons...
Frank W. Moore, Patrick Marshall
VLSID
1996
IEEE
133views VLSI» more  VLSID 1996»
14 years 1 months ago
Allocation and Binding in Data Path Synthesis Using a Genetic Algorithm Approach
A technique for allocatzon and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) approach has been developed. The proposed genetic algorithm uses a non-conventi...
Chittaranjan A. Mandal, P. P. Chakrabarti, Sujoy G...
ICPR
2002
IEEE
14 years 10 months ago
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
CAMP
2005
IEEE
14 years 3 months ago
Restoration of Vertical Line Scratches with a Distributed Genetic Algorithm
— This contribution approaches the problem of scratch restoration in old movies as a optimisation’s problem. The functional based on the statistical properties of the image aro...
Francesco Isgrò, Domenico Tegolo
GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
14 years 2 months ago
Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm
In this study a multi-objective genetic algorithm approach is developed for determining new reaction rate parameters for the combustion of kerosene/air mixtures. The multi-objectiv...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...