ACGA with adapting parameters based on cloud models

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

Volumn 31, Issue 7, 2009, Pages 1763-1766

  Mu, Feng ^a   Wang, Ci Guang ^a   Yuan, Xiao Hui ^a   Xue, Feng ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

Ant colony algorithm; Ant colony genetic algorithm; Genetic algorithm; Normal cloud model; Travelling salesman problem

Indexed keywords

ANT COLONIES; ANT COLONY ALGORITHM; ANT COLONY ALGORITHMS; ANT COLONY-GENETIC ALGORITHM; CLOUD MODELS; CONVERGENT SPEED; GLOBAL CONVERGENCE; GLOBAL SEARCH; NORMAL CLOUD MODEL; OPTIMIZATION ALGORITHMS; POSITIVE FEEDBACK; SIMULATION RESULT; TRAVELLING SALESMAN PROBLEM;

ADHESIVE JOINTS; ASSOCIATIVE PROCESSING; CONVERGENCE OF NUMERICAL METHODS; FEEDBACK; GENETIC ALGORITHMS; OPTIMIZATION;

MATHEMATICAL MODELS;

EID: 68749100754     PISSN: 1001506X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Dorigo M, Gambardella L M. Ant colony system: a cooperative learning approach to the traveling salesman problem[J]. IEEE Trans. on Evolutionary Computation, 1997, 1(1): 53-66.
2. Stutzle T, Hoos H. MAX-MIN ant system and local search for the traveling salesman problem[C]//Proc. of the IEEE International Conference on Evolutionary Computation, 1997: 309-314.
3. Abbattista F, Abbattista N, Caponetti L. An evolutionary and cooperative agents model for optimization[C]//Proc. of the IEEE International Conference on Evolutionary Computation, 1995, 2: 669-671.
4. 1999, 36(10): 1240-1245.
5. 1995, 32(6): 15-20.
6. 2004, 16(11): 2417-2420.
7. 2006, 22(22): 261-263.
8. 2007, 19(5): 974-977.