Optimizations and Placement with the Genetic Workbench

摘要: The Genetic Workbench (GWB) is a software system built with the intent of investigating evolutionary or non-standard algorithms applied to difficult combinatorial problems. user allowed experiment various techniques, operators, parameters, strategies and compare results. In particular optimal placements connected components modules on plane has been considered, but some implemented in GWB can be other permutation based problems as well. Techniques which generate best results have also compared one commercial tools available, TimberWolf ver. 7, uses special simulated annealing algorithm, highlight strengths weaknesses different methods. Most used classified rely implementation genetic algorithm; this reason why qualifier name system. For placement problem particular, running standard benchmarks are shown at end report.