TY - JOUR
T1 - Hybrid strategy with ant colony and simulated annealing algorithm and its improvement in target assignment
AU - Ma, Shi Dong
AU - Gong, Guang Hong
AU - Han, Liang
AU - Song, Xiao
PY - 2011/5
Y1 - 2011/5
N2 - In the process of air-to-ground attacking by helicopter formations, target assignment plays an important role in completing military tasks. The integrated interest function and the principle of helicopter target assignment are made. Target assignment in helicopter formation's air-to-ground attacking is realized by using hybrid strategy with ant colony algorithm and simulated annealing algorithm. Aimed at the defect because of deciding current best solution by integrated interest function, the hybrid strategy are improved, that is, to decide current best solution by amount of pheromone. So the best solution can be determined both by integrated interest function and amount of pheromone, and bad individual interests and slow convergence will be avoided in order to get maximal interests in process of assignment. A test is given to validate the improved hybrid algorithm, and the results indicate that the improved algorithm has a better performance in finding optimal solution and more quick convergence than before, and has a more reasonable assignment results.
AB - In the process of air-to-ground attacking by helicopter formations, target assignment plays an important role in completing military tasks. The integrated interest function and the principle of helicopter target assignment are made. Target assignment in helicopter formation's air-to-ground attacking is realized by using hybrid strategy with ant colony algorithm and simulated annealing algorithm. Aimed at the defect because of deciding current best solution by integrated interest function, the hybrid strategy are improved, that is, to decide current best solution by amount of pheromone. So the best solution can be determined both by integrated interest function and amount of pheromone, and bad individual interests and slow convergence will be avoided in order to get maximal interests in process of assignment. A test is given to validate the improved hybrid algorithm, and the results indicate that the improved algorithm has a better performance in finding optimal solution and more quick convergence than before, and has a more reasonable assignment results.
KW - Ant colony algorithm
KW - Pheromone
KW - Simulated annealing algorithm
KW - Target assignment
UR - https://www.scopus.com/pages/publications/79958761717
U2 - 10.3969/j.issn.1001-506X.2011.05.44
DO - 10.3969/j.issn.1001-506X.2011.05.44
M3 - 文章
AN - SCOPUS:79958761717
SN - 1001-506X
VL - 33
SP - 1182
EP - 1186
JO - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
JF - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
IS - 5
ER -