Classifier systems and genetic algorithms
Artificial Intelligence
Analysis of first-come-first-serve parallel job scheduling
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Dynamic mapping of a class of independent tasks onto heterogeneous computing systems
Journal of Parallel and Distributed Computing - Special issue on software support for distributed computing
IEEE Transactions on Parallel and Distributed Systems
Journal of Parallel and Distributed Computing
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
QoS guided min-min heuristic for grid task scheduling
Journal of Computer Science and Technology - Grid computing
A Comparison among Grid Scheduling Algorithms for Independent Coarse-Grained Tasks
SAINT-W '04 Proceedings of the 2004 Symposium on Applications and the Internet-Workshops (SAINT 2004 Workshops)
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Grid-based Data Mining in Real-life Business Scenario
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Dynamic scheduling II: fast simulation model for grid scheduling using HyperSim
Proceedings of the 35th conference on Winter simulation: driving innovation
Heuristic scheduling for bag-of-tasks applications in combination with QoS in the computational grid
Future Generation Computer Systems - Special issue: Advanced grid technologies
An Approach to Grid Scheduling Optimization Based on Fuzzy Association Rule Mining
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
User group-based workload analysis and modelling
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
On incorporating differentiated levels of network service into GridSim
Future Generation Computer Systems
Delay Components of Job Processing in a Grid: Statistical Analysis and Modeling
ICNS '07 Proceedings of the Third International Conference on Networking and Services
Engineering Applications of Artificial Intelligence
Development of scheduling strategies with Genetic Fuzzy systems
Applied Soft Computing
The Impact of Under-Estimated Length of Jobs on EASY-Backfill Scheduling
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
Fuzzy logic control for a petroleum separation process
Engineering Applications of Artificial Intelligence
A toolkit for modelling and simulating data Grids: an extension to GridSim
Concurrency and Computation: Practice & Experience
A Dynamic Resource Broker and Fuzzy Logic Based Scheduling Algorithm in Grid Environment
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Towards a general model of the multi-criteria workflow scheduling on the grid
Future Generation Computer Systems
Engineering Applications of Artificial Intelligence
The anatomy study of high performance task scheduling algorithm for Grid computing system
Computer Standards & Interfaces
A parallel solution for scheduling of real time applications on grid environments
Future Generation Computer Systems
Evolutionary Fuzzy Scheduler for Grid Computing
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Scheduling jobs on computational grids using a fuzzy particle swarm optimization algorithm
Future Generation Computer Systems
Genetic reinforcement learning through symbiotic evolution forfuzzy controller design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Improving expert meta-schedulers for grid computing through weighted rules evolution
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
International Journal of Approximate Reasoning
Fuzzy scheduling with swarm intelligence-based knowledge acquisition for grid computing
Engineering Applications of Artificial Intelligence
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Grid computing is increasingly emerging as a promising platform for large-scale problems solving in science, engineering and technology. Nevertheless, a major effort is still required to harness the high potential performance of such computational framework and in this sense, an important challenge is to develop new strategies that efficiently address scheduling on the distributed, heterogeneous and shared environment of grids. Fuzzy rule-based systems (FRBSs) models are dynamic and are currently attracting the interest of scheduling research community to obtain near-optimal solutions on grids. However, FRBSs performance is strongly related to the quality of their knowledge bases and thus, with the knowledge acquisition process. Due to the inherent dynamic nature and the typical complex search spaces of grids, automatically finding a high-quality knowledge base that accurately describes the fuzzy system is extremely relevant. In this work, we propose a scheduling system for grids considering a novel learning strategy inspired by Michigan and Pittsburgh approaches that applies genetic algorithms (GAs) to evolve the fuzzy rule bases and improves the classical learning strategies in terms of computational effort and convergence behaviour. In addition, experimental results show that the proposed schema significantly outperforms other extensively used scheduling strategies.