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» On the practical genetic algorithms
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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 12 months ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura
PPSN
1998
Springer
15 years 10 months ago
Genetic Algorithms for the Multiple Container Packing Problem
This paper presents two variants of Genetic Algorithms (GAs) for solving the Multiple Container Packing Problem (MCPP), which is a combinatorial optimization problem comprising sim...
Günther R. Raidl, Gabriele Kodydek
MVA
2007
105views Computer Vision» more  MVA 2007»
15 years 8 months ago
Identifying Hand Gesture Images by Using Genetic Algorithms
A genetic algorithm (GA) is an optimization algorithm that simulates the hereditary phenomenon of natural life. Although GA has been applied to image processing, it has not been s...
Tetsuji Kobayashi, Norifumi Machida
CEC
2010
IEEE
15 years 7 months ago
A hybrid genetic algorithm and inver over approach for the travelling salesman problem
This paper proposes a two-phase hybrid approach for the travelling salesman problem (TSP). The first phase is based on a sequence based genetic algorithm (SBGA) with an embedded lo...
Shakeel Arshad, Shengxiang Yang
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 7 months ago
Multi-resistant radar jamming using genetic algorithms
The next generation of advanced self-protection jammers is expected to deliver effective and energy efficient jamming against modern air tracking radars. However, optimizing such ...
Hans Jonas Fossum Moen, Stein Kristoffersen