Artificial Bee Colony metaheuristic to optimize Goal Programming Engineering Design Problems

In this paper, an Artificial Bee Colony (ABC) metaheuristic is adapted to optimize Goal Programming (GP) Engineering Design Problems. The ABC is personalized to support the GP by means of minimizing deviations from fixed goals. This proposed metaheuristic is named Goal Programming Artificial Bee Colony (GP-ABC). By computer simulations, it is shown that the performance of the GP-ABC is better than the previous metaheuristics using very few user-defined parameters.