Swarm intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Sub optimal scheduling in a grid using genetic algorithms
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Fuzzy Discrete Particle Swarm Optimization for Solving Traveling Salesman Problem
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Adaptive grid job scheduling with genetic algorithms
Future Generation Computer Systems
Fuzzy Adaptive Turbulent Particle Swarm Optimization
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
Chaotic dynamic characteristics in swarm intelligence
Applied Soft Computing
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Semantic-supported and agent-based decentralized grid resource discovery
Future Generation Computer Systems
A new mechanism for resource monitoring in Grid computing
Future Generation Computer Systems
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
A Multi-swarm Approach to Multi-objective Flexible Job-shop Scheduling Problems
Fundamenta Informaticae - Swarm Intelligence
Computational models and heuristic methods for Grid scheduling problems
Future Generation Computer Systems
A fuzzy rule-based meta-scheduler with evolutionary learning for grid computing
Engineering Applications of Artificial Intelligence
Fuzzy logic for parameter tuning in evolutionary computation and bio-inspired methods
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Knowledge acquisition in fuzzy-rule-based systems with particle-swarm optimization
IEEE Transactions on Fuzzy Systems
Future Generation Computer Systems
International Journal of Applied Mathematics and Computer Science - SPECIAL SECTION: Efficient Resource Management for Grid-Enabled Applications
International Journal of Approximate Reasoning
Computers & Mathematics with Applications
Fuzzy scheduling with swarm intelligence-based knowledge acquisition for grid computing
Engineering Applications of Artificial Intelligence
Bio-inspired optimization methods for minimization of complex mathematical functions
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
A prediction approach to support alternative design decision for component-based system development
SEPADS'12/EDUCATION'12 Proceedings of the 11th WSEAS international conference on Software Engineering, Parallel and Distributed Systems, and proceedings of the 9th WSEAS international conference on Engineering Education
Economic-based resource allocation for reliable Grid-computing service based on Grid Bank
Future Generation Computer Systems
Information Sciences: an International Journal
A Multi-swarm Approach to Multi-objective Flexible Job-shop Scheduling Problems
Fundamenta Informaticae - Swarm Intelligence
A new approach to the job scheduling problem in computational grids
Cluster Computing
Bacterial foraging based hyper-heuristic for resource scheduling in grid computing
Future Generation Computer Systems
Self-Optimization module for Scheduling using Case-based Reasoning
Applied Soft Computing
Software Survey: Distributed job scheduling based on Swarm Intelligence: A survey
Computers and Electrical Engineering
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Grid computing is a computational framework used to meet growing computational demands. This paper introduces a novel approach based on Particle Swarm Optimization (PSO) for scheduling jobs on computational grids. The representations of the position and velocity of the particles in conventional PSO is extended from the real vectors to fuzzy matrices. The proposed approach is to dynamically generate an optimal schedule so as to complete the tasks within a minimum period of time as well as utilizing the resources in an efficient way. We evaluate the performance of the proposed PSO algorithm with a Genetic Algorithm (GA) and Simulated Annealing (SA) approach. Empirical results illustrate that an important advantage of the PSO algorithm is its speed of convergence and the ability to obtain faster and feasible schedules.