Name
Title | ||
|---|---|---|
Differential Evolution with dual population for static Weapon-Target assignment problem |
Abstract | ||
|---|---|---|
A new Differential Evolution algorithm with dual population was proposed for the static Weapon-Target problem. There are two different types of population in the new algorithm with one is floating-point coded and the other is sequence number coded. During the evolution a new mapping operation was proposed to generate the corresponding sequence population from the floating-point population. And the sequence population was used to guide the direction of the new algorithm by deciding which one between the floating-point individual and its rival will exist in the next generation. Initial simulation results the new algorithm is effective and efficient in solving the static Weapon-Target problem which is NP-complete. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICNC.2010.5584753 | ICNC |
Keywords | Field | DocType |
floating-point population,evolutionary computation,static weapon-target assignment problem,floating-point code,differential evolution,dual population,computational complexity,differential evolution algorithm,sequence number code,military systems,mapping operation,artificial neural networks,floating point,mathematical model,algorithm design and analysis,optimization,assignment problem | Weapon target assignment problem,Population,Mathematical optimization,Algorithm design,Computer science,Evolutionary computation,Algorithm,Differential evolution,Artificial neural network,Population-based incremental learning,Computational complexity theory | Conference |
Volume | ISBN | Citations |
8 | 978-1-4244-5958-2 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changshou Deng | 1 | 39 | 10.80 |
| Bingyan Zhao | 2 | 12 | 3.88 |
| An-Yuan Deng | 3 | 13 | 3.05 |
| Rixin Hu | 4 | 0 | 0.34 |