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GECCO
2005
Springer
177views Optimization» more  GECCO 2005»
15 years 11 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»
15 years 10 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
16 years 7 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
15 years 11 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»
15 years 11 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...