Enhancement of a genetic algorithm for optical orthogonal code design using simulated annealing

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) ◽

10.1109/cec.2002.1006276 ◽

2003 ◽

Cited By ~ 3

Author(s):

C.K. Ho ◽

Y.P. Singh ◽

S.W. Lee

Keyword(s):

Genetic Algorithm ◽

Simulated Annealing ◽

Code Design ◽

Optical Orthogonal Code ◽

Orthogonal Code

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Systematic Optical Orthogonal Code Design Techniques Using Extended Sets

10.1109/icc.2006.255178 ◽

2006 ◽

Cited By ~ 4

Author(s):

Cenk Argon

Keyword(s):

Code Design ◽

Optical Orthogonal Code ◽

Orthogonal Code ◽

Design Techniques

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Optimal optical orthogonal code design using difference sets and projective geometry

Optics Communications ◽

10.1016/0030-4018(95)00246-5 ◽

1995 ◽

Vol 118 (5-6) ◽

pp. 505-508 ◽

Cited By ~ 6

Author(s):

Cenk Argon ◽

H Farooq Ahmad

Keyword(s):

Projective Geometry ◽

Difference Sets ◽

Code Design ◽

Optical Orthogonal Code ◽

Optimal Optical Orthogonal Code ◽

Orthogonal Code

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A HYBRID GENETIC ALGORITHM FOR OPTICAL ORTHOGONAL CODE CONSTRUCTION

Applied Artificial Intelligence ◽

10.1080/714858318 ◽

2003 ◽

Vol 17 (10) ◽

pp. 927-953

Author(s):

C. K. HO ◽

Y. P. SINGH ◽

S. W. LEE

Keyword(s):

Genetic Algorithm ◽

Hybrid Genetic Algorithm ◽

Optical Orthogonal Code ◽

Code Construction ◽

Orthogonal Code

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Optical orthogonal code design using genetic algorithms

Electronics Letters ◽

10.1049/el:20010839 ◽

2001 ◽

Vol 37 (20) ◽

pp. 1232 ◽

Cited By ~ 1

Author(s):

C.K. Ho ◽

S.W. Lee ◽

Y.P. Singh

Keyword(s):

Genetic Algorithms ◽

Code Design ◽

Optical Orthogonal Code ◽

Orthogonal Code

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Application of a uniform design simulated annealing genetic algorithm in separation condition optimization of 15 drugs

Artificial Intelligence and Industrial Application ◽

10.2495/aiia140431 ◽

2015 ◽

Author(s):

X. G. Chen ◽

T. Zhang

Keyword(s):

Genetic Algorithm ◽

Simulated Annealing ◽

Uniform Design ◽

Separation Condition ◽

Simulated Annealing Genetic Algorithm ◽

Condition Optimization

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Optimum Code Design Using Genetic Algorithm in Frequency Hopping Dual Function MIMO Radar Communication Systems

2020 IEEE Radar Conference (RadarConf20) ◽

10.1109/radarconf2043947.2020.9266623 ◽

2020 ◽

Author(s):

Indu Priya Eedara ◽

Moeness G. Amin ◽

Ahmad Hoorfar

Keyword(s):

Genetic Algorithm ◽

Communication Systems ◽

Frequency Hopping ◽

Mimo Radar ◽

Dual Function ◽

Code Design

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Hybrid Genetic Algorithm and Simulated Annealing for Clustering Microarray Gene Expression data

Journal of Physics Conference Series ◽

10.1088/1742-6596/1767/1/012034 ◽

2021 ◽

Vol 1767 (1) ◽

pp. 012034

Author(s):

M Pandi ◽

T Sivakumar ◽

N Senthil Madasamy ◽

N Sadhasivam

Keyword(s):

Gene Expression ◽

Genetic Algorithm ◽

Simulated Annealing ◽

Gene Expression Data ◽

Hybrid Genetic Algorithm ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Parallel recombinative simulated annealing: A genetic algorithm

Parallel Computing ◽

10.1016/0167-8191(94)00071-h ◽

1995 ◽

Vol 21 (1) ◽

pp. 1-28 ◽

Cited By ~ 179

Author(s):

Samir W. Mahfoud ◽

David E. Goldberg

Keyword(s):

Genetic Algorithm ◽

Simulated Annealing

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An improved simulated annealing genetic algorithm of EEG feature selection in sleep stage

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) ◽

10.1109/apsipa.2016.7820683 ◽

2016 ◽

Cited By ~ 1

Author(s):

Yundong Ji ◽

Xiangeng Bu ◽

Jinwei Sun ◽

Zhiyong Liu

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Simulated Annealing ◽

Sleep Stage ◽

Simulated Annealing Genetic Algorithm

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Memetic Algorithm Approach to Two-Stage Hybrid Flow Shop Scheduling Problem with Identical Parallel Machines

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.651.548 ◽

2013 ◽

Vol 651 ◽

pp. 548-552

Author(s):

Parinya Kaweegitbundit

Keyword(s):

Genetic Algorithm ◽

Simulated Annealing ◽

Parallel Machines ◽

Flow Shop ◽

Memetic Algorithm ◽

Flow Shop Scheduling ◽

Hybrid Flow Shop ◽

Scheduling Problems ◽

Two Stage ◽

Hybrid Flow Shop Scheduling

This paper considers two stage hybrid flow shop (HFS) with identical parallel machine. The objectives is to determine makespan have been minimized. This paper presented memetic algorithm procedure to solve two stage HFS problems. To evaluated performance of propose method, the results have been compared with two meta-heuristic, genetic algorithm, simulated annealing. The experimental results show that propose method is more effective and efficient than genetic algorithm and simulated annealing to solve two stage HFS scheduling problems.

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