Vector quantization based on genetic simulated annealing

Signal Processing

Volumn 81, Issue 7, 2001, Pages 1513-1523

  Huang, Hsiang Cheh ^a   Pan, Jeng Shyang ^b   Lu, Zhe Ming ^c   Sun, Sheng He ^c   Hang, Hsueh Ming ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^c HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Codebook design; Genetic algorithm; Simulated annealing; Vector quantization

Indexed keywords

GENETIC ALGORITHMS; RESPONSE TIME (COMPUTER SYSTEMS); SIMULATED ANNEALING;

GENETIC SIMULATED ANNEALING;

VECTOR QUANTIZATION;

EID: 0035392413     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(01)00048-2     Document Type: Article

References (14)

1. Genetic algorithm for codebook design in vector quantization
2. A new vector quantization clustering algorithm
3. Genetic algorithm with deterministic crossover for vector quantization
4. An algorithm for vector quantizer design
5. Maximum descent method for image vector quantization
6. VQ codebook design using genetic algorithms
7. Application of parallel genetic algorithm and property of multiple global optima to VQ codevector index assignment
8. Novel subspace distortion measurement for efficient implementation of image vector quantizer
9. Deterministic annealing for clustering, compression, classification, regression and related optimization problems
10. Simulated annealing and codebook design
11. Stochastic relaxation algorithm for improved vector quantizer design