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Technische Universität München
Lehrstuhl für Effiziente Algorithmen
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A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems
M. Mezmaz
,
N. Melab
,
Y. Kessaci
,
Y.C. Lee
,
E.-G. Talbi
,
A.Y. Zomaya
,
D. Tuyttens
Journal Parallel Distributed Computing
71
(11), 2011, pp. 1497-1508
An efficient load balancing strategy for grid-based branch and bound algorithm
M. Mezmaz
,
N. Melab
,
E.-G. Talbi
Parallel Computing
33
(4-5), 2007, pp. 302-313
Parallel cooperative meta-heuristics on the computational grid. A case study: The bi-objective Flow-Shop problem
N. Melab
,
M. Mezmaz
,
E.-G. Talbi
Parallel Computing
32
(9), 2006, pp. 643-659
Building with ParadisEO reusable parallel and distributed evolutionary algorithms
S. Cahon
,
N. Melab
,
E.-G. Talbi
Parallel Computing
30
(5-6), 2004, pp. 677-697
Parallel adaptive computing on meta-systems including NOWs
N. Melab
,
E.-G. Talbi
Parallel Computing
26
(2-3), 2000, pp. 267-284
A fault-tolerant parallel heuristic for assignment problems
E.-G. Talbi
,
J.-M. Geib
,
Z. Hafidi
,
D. Kebbal
Lecture Notes in Computer Science
1388
, 1998, pp. 306-314
Dynamic load balancing mechanisms for a parallel operating system kernel
A. Elleuch
,
R. Kanawati
,
T. Muntean
,
E.-G. Talbi
Lecture Notes in Computer Science
854
, 1994, pp. 866-877
Parallel robot motion planning in a dynamic environment
E.-G. Talbi
,
P. Bessière
,
J.M. Ahuactzin
,
E. Mazer
Lecture Notes in Computer Science
634
, 1992, pp. 835-836