In the quest for Energy Efficient Genetic Algorithms
Although usually quality of solutions and running time are the main features of algorithms, recently a new trend in computer science tries to contextualize these features under a new perspective: power consumption. This paper presents a preliminary analysis of the standard genetic algorithm, using two well-known benchmark problems, considering power consumption when battery-powered devices are used to run them. Results show that some of the main parameters of the algorithm has an impact on instantaneous energy consumption -that departs from the expected behavior, and therefore on the amount of energy required to run the algorithm. Although we are still far from finding the way to design energy-efficient EAs, we think the results open up a new perspective that will allow us to achieve this goal in the future.