An updated survey of GA-based multiobjective optimization techniques
ACM Computing Surveys (CSUR)
Journal of Systems Architecture: the EUROMICRO Journal
Observations on Using Genetic-Algorithms for Channel Allocation in Mobile Computing
IEEE Transactions on Parallel and Distributed Systems
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Genetic Algorithm Based Scheduler for Computational Grids
HPCS '05 Proceedings of the 19th International Symposium on High Performance Computing Systems and Applications
A Unified Scheduling Algorithm for Grid Applications
HPCS '06 Proceedings of the 20th International Symposium on High-Performance Computing in an Advanced Collaborative Environment
Fair Game-Theoretic Resource Management in Dedicated Grids
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Reliability-Aware Resource Management for Computational Grid/Cluster Environments
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Dynamic Multi-objective Optimization Evolutionary Algorithm
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
From P2P and Grids to Services on the Web: Evolving Distributed Communities
From P2P and Grids to Services on the Web: Evolving Distributed Communities
Scheduling in Distributed Computing Systems: Analysis, Design and Models
Scheduling in Distributed Computing Systems: Analysis, Design and Models
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 01
An Efficient Method for Maintaining Diversity in Evolutionary Multi-objective Optimization
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 06
A task duplication based scheduling algorithm on GA in grid computing systems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Reducing the run-time complexity of multiobjective EAs: The NSGA-II and other algorithms
IEEE Transactions on Evolutionary Computation
A Computational Grid Scheduling Model To Maximize Reliability Using Modified GA
International Journal of Grid and High Performance Computing
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Scheduling a job on the grid is an NP Hard problem, and hence a number of models on optimizing one or other characteristic parameters have been proposed in the literature. It is expected from a computational grid to complete the job quickly in most reliable grid environment owing to the number of participants in the grid and the scarcity of the resources available. Genetic algorithm is an effective tool in solving problems that requires sub-optimal solutions and finds uses in multi-objective optimization problems. This paper addresses a multi-objective optimization problem by introducing a scheduling model for a modular job on a computational grid with a dual objective, minimizing the turnaround time and maximizing the reliability of the job execution using NSGA-II, a GA variant. The cost of execution on a node is measured on the basis of the node characteristics, the job attributes and the network properties. Simulation study and a comparison of the results with other similar models reveal the effectiveness of the model.