Sciweavers

ICDIM   2007 IEEE International Conference on Digital Information Management
Wall of Fame | Most Viewed ICDIM-2007 Paper
ICDIM
2007
IEEE
13 years 11 months ago
A novel Variable Neighborhood Particle Swarm Optimization for multi-objective Flexible Job-Shop Scheduling Problems
This paper introduces a hybrid metaheuristic, the Variable Neighborhood Particle Swarm Optimization (VNPSO), consisting of a combination of the Variable Neighborhood Search (VNS) ...
Hongbo Liu, Ajith Abraham, Crina Grosan
Disclaimer and Copyright Notice
Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.
IdReadViewsTitleStatus
1Download preprint from source278
2Download preprint from source175
3Download preprint from source174
4Download preprint from source144
5Download preprint from source143
6Download preprint from source142
7Download preprint from source138
8Download preprint from source137
9Download preprint from source135
10Download preprint from source133
11Download preprint from source133
12Download preprint from source132
13Download preprint from source130
14Download preprint from source124
15Download preprint from source121
16Download preprint from source119
17Download preprint from source119
18Download preprint from source117
19Download preprint from source115
20Download preprint from source111
21Download preprint from source110
22Download preprint from source108
23Download preprint from source106
24Download preprint from source105
25Download preprint from source105
26Download preprint from source104
27Download preprint from source101
28Download preprint from source100
29Download preprint from source100
30Download preprint from source99
31Download preprint from source98
32Download preprint from source98
33Download preprint from source95
34Download preprint from source92
35Download preprint from source88
36Download preprint from source87
37Download preprint from source82
38Download preprint from source69
39Download preprint from source65