Parallel simulated annealing using an adaptive resampling interval

Parallel Simulated Annealing: An Adaptive Approach

This paper analyses alternatives for the parallelization of the Simulated Annealing algorithm when applied to the placement of modules in a VLSI circuit considering the use of PVM on an Ethernet cluster of workstations. It is shown that different parallelization approaches have to be used for high and low temperature values of the annealing process. The algorithm used for low temperatures is an...

Temperature Parallel Simulated Annealing with Adaptive Neighborhood

In this paper, a Temperature Parallel Simulated Annealing with Adaptive Neighborhood (TPSA/AN) for continuous optimization problems is introduced. TPSA/AN is based on the temperature parallel simulated annealing (TPSA), which is suitable for parallel processing, and the SA that Corana developed for continuous optimization problems. The moves in TPSA/AN are adjusted to have equal acceptance rate...

Parallel Simulated Annealing using Genetic Crossover

This paper proposes a new algorithm of a simulated annealing (SA): Parallel Simulated Annealing using Genetic Crossover (PSA/GAc). The proposed algorithm consists of several processes, and in each process SA is operated. The genetic crossover is used to exchange information between solutions at fixed intervals. While SA requires high computational costs, particularly in continuous problems, thi...

Hybrid Parallel Simulated Annealing Using Genetic Operations

This paper deals with a new algorithm of a parallel simulated annealing HGSA which includes genetic crossover operations. The genetic crossover is used as an enhancement of the origin parallel simulated annealing PSA which allows to recombine solutions produced by individual simulate annealing processes at fixed time intervals. It is found that the proposed algorithm can speed—up the search the...

Neighborhood Parallel Simulated Annealing