1 research outputs found
Simultaneously Solving Mixed Model Assembly Line Balancing and Sequencing problems with FSS Algorithm
Many assembly lines related optimization problems have been tackled by
researchers in the last decades due to its relevance for the decision makers
within manufacturing industry. Many of theses problems, more specifically
Assembly Lines Balancing and Sequencing problems, are known to be NP-Hard.
Therefore, Computational Intelligence solution approaches have been conceived
in order to provide practical use decision making tools. In this work, we
proposed a simultaneous solution approach in order to tackle both Balancing and
Sequencing problems utilizing an effective meta-heuristic algorithm referred as
Fish School Search. Three different test instances were solved with the
original and two modified versions of this algorithm and the results were
compared with Particle Swarm Optimization Algorithm