Multi-objective optimization of energy-efficient production schedules using genetic algorithms

Abstract The optimization of production schedules to be more energy efficient while still meeting goals is a difficult task: How schedule and distribute tasks meet goals, making best use fluctuating market prices availability locally installed sources? Although large body related work exists in this domain, most those seem focus on individual aspects not the whole picture. In paper, genetic algorithm for with respect consumption, peak shaving, makespan presented, that also takes into account can performed different ways, having characteristics. has been successfully employed within SPEAR project by applying it an automotive line pathway automated guided vehicle.