In this work, we propose a Hybrid particle swarm optimization-Simulated annealing algorithm and present a comparison with i) Simulated annealing algorithm and ii) Back propagation algorithm for training neural networks. These neural networks were then tested on a classification task. In particle swarm optimization behaviour of a particle is influenced by the experiential knowledge of the partic...

This article introduces a new variant on the popular optimization method, simulated annealing, herein called modified discrete-state simulated annealing. A guide in practical implementation of simulated tempering is also provided. The algorithms are tested in the design of an ideal collector for a travelling wave tube amplifier. keywords: simulated annealing, simulated tempering, travelling wav...

As computing resources are distributed in multiple domains in the Internet, the computational and storage nodes and the underlying networks connecting them are heterogeneous. Thus the heterogeneity results in different capabilities for job processing and data access. To achieve the promising potentials of tremendous distributed resources, effective and efficient scheduling algorithms are fundam...