Genetic-ant colony algorithm to solve layout optimization of manipulators of driller control room

In the traditional computer aided driller control room layout design, interactive input and modification are usually adopted, but the whole layout design process supported by the global optimization idea is not involved. So, genetic algorithm and ant colony algorithm were introduced into the driller control room layout design. According to the human cognitive characteristics, the layout principles were summarized, and the corresponding mathematical model was established, the layout principles were taken as the objective function variables to affect the process of layout optimization. From the perspective of industrial design, the expression forms of fitness function, pheromone and heuristic information were studied for the layout optimization of manipulators' geometric position of driller control room, the process was established that genetic-ant colony algorithm was applied to the layout optimization design of manipulators of driller control room. Taking the layout design of manipulators of a certain type rig's console as an example, the authors carried out multi-objective optimization calculation. This method realizes the quantification of layout principles and combines with algorithm, which will improve the efficiency of design.