The invention particularly discloses an intelligent automatic container wharf energy-saving comprehensive scheduling method which comprises the following steps: S1, based on a framework of a genetic algorithm, randomly encoding a container loading and unloading task to form an initial population; s2, calculating a fitness value of each individual in the population as a current generation solution;s3, judging whether the minimum value of the current generation solution is the current optimal solution or not; s4, sorting the fitness values of the individuals from small to large, and taking thefirst 1/8 individuals as excellent individuals; s5, taking the selected 1/8 excellent individuals as male parents to perform overturning, crossing, variation and random operation, obtaining 7/8 filialgenerations corresponding to the 1/8 male generations, then combining the 1/8 male generations and the 7/8 filial generations to form a complete population, and inheriting the complete population tothe next generation; and S6, judging whether the next generation obtained in the step S5 reaches a termination condition or not, if so, terminating the algorithm, and otherwise, returning to the stepS2. According to the invention, the container loading and unloading operation efficiency is improved, and the energy consumption of equipment is remarkably reduced.