A hybrid meta-heuristic method forcontinuous engineering optimization

摘要

In this study we present an efficient new hybrid metaheuristicfor solving size optimization of truss structures. The proposedANGEL method combines ant colony optimization (ACO), ge-netic algorithm (GA) and local search (LS) strategy. In the pre-sented algorithm ACO and GA search alternately and coopera-tively in the solution space. The powerful LS algorithm, which isbased on the local linearization of the constraint set, is appliedto yield a better feasible or less unfeasible solution when ACO orGA obtains a solution. Test examples show that ANGEL can bemore efficient and robust than the conventional gradient baseddeterministic or the traditional population based heuristic meth-ods in solving explicit (implicit) optimization problems. ANGELproduces highly competitive results in significantly shorter run-times than the previously described approaches.