Parallel Metaheuristics: A New Class of Algorithms
Parallel Metaheuristics: A New Class of Algorithms
Handbook of Approximation Algorithms and Metaheuristics (Chapman & Hall/Crc Computer & Information Science Series)
The ParMetaOpt experience: performance of parallel metaheuristics on scheduling optimization
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
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This paper suggest a model of parallel computation based on Bacteria Foraging metaheuristics for Job Shop Scheduling optimization problem. The parallel model is verified experimentally by Hybrid (MPI + OpenMP) programming implementations, run on heterogeneous computer cluster. The experimental study comprises parallel performance evaluation, parallel algorithm scalability analysis, profiling and evaluation of solution quality.