Novel parallelization of simulated annealing and Hooke & Jeeves search algorithms for multicore systems with application to complex fisheries stock assessment models
The most costly part of an ecosystem model is the optimization of its parameters. This involves search strategies such as Simulated Annealing or Hooke & Jeeves. We propose two novel OpenMP-based parallel versions of each one of these algorithms. Our proposals are totally general and do not reduce the quality of the solution. They allow to make a better use of today's mainstream multicore processors.