Name
Title | ||
|---|---|---|
Modified Shuffled Frog Leaping Algorithm for Simulation Capability Scheduling Problem. |
Abstract | ||
|---|---|---|
Based on the analysis of characteristics of simulation capability scheduling problem in cloud simulation platform, this paper gives its mathematical description and introduces a modified shuffled frog leaping algorithm (MSFL) to solve the above optimization problem with multi-mode constraint. The MFSL introduces GA to code the feasible solution space. During the random execution of coding, decoding and mutation, it increases three layers of coding constraints including simulation capability, task logic and feasible mode, to ensure the randomness of the solving process in the controllable scope. Thus it can reduce the search range of solution space, get rid of the meaningless illegal solution, and ultimately improve the convergence speed of the algorithm and avoid precocity. © Springer-Verlag Berlin Heidelberg 2013. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-45037-2_7 | AsiaSim |
Keywords | Field | DocType |
cloud simulation,constraint model,modified shuffled frog leaping algorithm,simulation capability scheduling | Convergence (routing),Mathematical optimization,Job shop scheduling,Coding (social sciences),Control engineering,Decoding methods,Cloud simulation,Engineering,Optimization problem,Shuffled frog leaping algorithm,Randomness | Conference |
Volume | Issue | Citations |
402 | null | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingying Xiao | 1 | 0 | 0.34 |
| Xudong Chai | 2 | 126 | 19.46 |
| Bo Hu Li | 3 | 278 | 15.15 |
| Chen Yang | 4 | 6 | 8.28 |
| Tingyu Lin | 5 | 223 | 21.88 |