Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Decentralized dynamic load balancing: the particles approach
Information Sciences—Informatics and Computer Science: An International Journal
Assignment and Scheduling Communicating Periodic Tasks in Distributed Real-Time Systems
IEEE Transactions on Software Engineering
Scheduling Algorithms
Real-time scheduling with quality of security constraints
International Journal of High Performance Computing and Networking
Genetic algorithms for task scheduling problem
Journal of Parallel and Distributed Computing
An efficient hybrid algorithm for resource-constrained project scheduling
Information Sciences: an International Journal
Perspectives on grid computing
Future Generation Computer Systems
Modular design of a hybrid genetic algorithm for a flexible job-shop scheduling problem
Knowledge-Based Systems
Information Sciences: an International Journal
Microprocessors & Microsystems
Non-identical parallel machine scheduling using genetic algorithm
Expert Systems with Applications: An International Journal
Development of Grid e-Infrastructure in South-Eastern Europe
Journal of Grid Computing
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This paper deals with the problem of dynamic task scheduling in grid environment of multi-processors. First, this paper formulates task scheduling as an optimization problem and then optimizes with a novel hybrid optimization algorithm. The proposed algorithm combines the merits of Genetic Algorithm and Bacteria Foraging optimization. The simulation result proves the superior performance with the proposed algorithm.