A Genetic Algorithm for Integrated Scheduling of Container Handing Systems at Container Terminals from a Low-Carbon Operations Perspective

At container terminals, quay cranes, yard trucks, and cranes are mainly used to transfer containers. Driven by the demand for a green low-carbon economy, an integrated scheduling problem considering three types of handling equipment systems is studied. As task transferring each completed sequentially, optimal solution may not be found only studying one type separately from operations perspective. The inter-dependency different should considered guarantee overall performance with so as reduce energy consumption. In this paper, formulated mixed integer linear programming (MILP). Since MILP cannot applied solve large-sized practical problems, genetic algorithm (GA) developed. proposed GA, three-dimension chromosome representation proposed, which integrates coordination equipment. A new mechanism including pairs crossover mutation in parallel GA aim enhancing efficiency searching good solutions. Each pair specific dimension solution. Moreover, novel heuristic developed diversify computational results indicate that method promising can highly improve quality.