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» Guided Operators for a Hyper-Heuristic Genetic Algorithm
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VLSID
2000
IEEE
94views VLSI» more  VLSID 2000»
13 years 9 months ago
A Genetic Algorithm for the Synthesis of Structured Data Paths
The technique presented here achieves simultaneous optimization of schedule time and data path component cost within a structured data path architecture, using a genetic algorithm...
Chittaranjan A. Mandal, R. M. Zimmer
GPEM
2002
95views more  GPEM 2002»
13 years 4 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith
CEC
2003
IEEE
13 years 10 months ago
Digital circuit design through simulated evolution (SimE)
In this paper, the use of Simulated Evolution (SimE) Algorithm in the design of digital logic circuits is proposed. SimE algorithm consists of three steps: evaluation, selection an...
Sadiq M. Sait, Mostafa Abd-El-Barr, Uthman S. Al-S...
EC
2010
157views ECommerce» more  EC 2010»
13 years 5 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
EUROGP
2009
Springer
143views Optimization» more  EUROGP 2009»
13 years 2 months ago
A Real-Time Evolutionary Object Recognition System
We have created a real-time evolutionary object recognition system. Genetic Programming is used to automatically search the space of possible computer vision programs guided throug...
Marc Ebner