Name
Abstract | ||
|---|---|---|
Locating mixing station (LMS) optimization has a considerable influence on controlling quality and prime cost for the specific construction. As a NP-hard problem, it is more complex than common p-median problem. In this paper, we proposed a hybrid genetic algorithm with special coding scheme, crossover and mutation to solve LMS. In addition, a specified evaluation functions are raised in order to achieve a better optimization solution for the LMS. Moreover, a local search strategy was added into the genetic algorithm (GALS) for improving the stability of the algorithm. On the basis of the experiment results, we can conclude that the proposed algorithm is more stable than the compared algorithm and GALS can be considered as a better solution for the LMS. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-662-49014-3_49 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Locating mixing station,Genetic algorithm,Local search | Prime (order theory),Mathematical optimization,Crossover,Computer science,Algorithm,Coding (social sciences),Local search (optimization),Population-based incremental learning,Genetic algorithm | Conference |
Volume | ISSN | Citations |
562 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |