Scheduling Algorithms
Sub optimal scheduling in a grid using genetic algorithms
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Dynamic scheduling of scientific workflow applications on the grid: a case study
Proceedings of the 2005 ACM symposium on Applied computing
Complex Scheduling (GOR-Publications)
Complex Scheduling (GOR-Publications)
Adaptive grid job scheduling with genetic algorithms
Future Generation Computer Systems
Optimised scheduling of grid resources using hybrid evolutionary algorithms
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Comparison of workflow scheduling strategies on the grid
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Solving scheduling problems in grid resource management using an evolutionary algorithm
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
The campusgrid test bed at forschungszentrum karlsruhe
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Fast multi-objective reschulding of grid jobs by heuristics and evolution
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
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This paper presents results of new experiments with the Global Optimising Resource Broker and Allocator GORBA for grid systems. The scheduling algorithm is based on the Evolutionary Algorithm GLEAM (General Learning Evolutionary Algorithm and Method) and several heuristics. The task of planning grid resource allocation is compared to pure NP-complete job shop scheduling and it is shown in which way it is of greater complexity. Two different gene models and two repair methods are described in detail and assessed by the experimental results. Based on the analysis of the experimental results, directions of further work and improvements will be outlined.