This paper presents a Multi-Objective Genetic Algorithm (MOGA) for
roblem of type
ALRABP-2). This approach minimizes both the cycle time and cost per hour of the line for a fixed number of stations to satisfy precedence constrains between tasks and compatibility constrains between resources. A modified version of Weighted Pareto-based Multi-Objective Genetic Algorithm (WPMOGA) is used to solve this problem. The effectiveness of the genetic approach has been evaluated through a set of instances randomly generated.