Abstract: A system and method for automatically assigning multiple tasks with multiple objectives to multiple teams (group of technician on field) is provided. This invention provides a means to minimize total operation cost and business process through the optimization consisting of the best assignment of resources to available task. In the tasks assignment and resource allocation method disclosed herein, new genetically adapted search agent (Genetic algorithm) are employed to improve the population, to provide the most optimum match matrix among jobs and teams, and calculate the best score of the fittest chromosome. The assignments generated by this method satisfy all constraints.