Print Email Facebook Twitter Mixed-Integer Nonlinear Programming for Energy-Efficient Container Handling Title Mixed-Integer Nonlinear Programming for Energy-Efficient Container Handling: Formulation and Customized Genetic Algorithm Author Xin, J. (Zhengzhou University) Meng, Chuang (Zhengzhou University) D'Ariano, Andrea (University of Roma Tre) Wang, Dongshu (Zhengzhou University) Negenborn, R.R. (TU Delft Transport Engineering and Logistics) Date 2022 Abstract Energy consumption is expected to be reduced while maintaining high productivity for container handling. This paper investigates a new energy-efficient scheduling problem of automated container terminals, in which quay cranes (QCs) and lift automated guided vehicles (AGVs) cooperate to handle inbound and outbound containers. In our scheduling problem, operation times and task sequences are both to be determined. The underlying optimization problem is mixed-integer nonlinear programming (MINLP). To deal with its computational intractability, a customized and efficient genetic algorithm (GA) is developed to solve the studied MINLP problem, and lexicographic and weighted-sum strategies are further considered. An $\epsilon $ -constraint algorithm is also developed to analyze the Pareto frontiers. Comprehensive experiments are tested on a container handling benchmark system, and the results show the effectiveness of the proposed lexicographic GA, compared to results obtained with two commonly-used metaheuristics, a commercial MINLP solver, and two state-of-the-art methods. Subject Automated container terminalsContainersCranesEnergy consumptionenergy efficiencygenetic algorithm.Genetic algorithmsJob shop schedulingmixed-integer nonlinear programmingOptimizationTask analysis To reference this document use: http://resolver.tudelft.nl/uuid:92e73e76-4dd8-4cb2-85ab-6a96a40b13c1 DOI https://doi.org/10.1109/TITS.2021.3094815 Embargo date 2023-07-01 ISSN 1524-9050 Source IEEE Transactions on Intelligent Transportation Systems, 23 (8), 10542-10555 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 J. Xin, Chuang Meng, Andrea D'Ariano, Dongshu Wang, R.R. Negenborn Files PDF Mixed_Integer_Nonlinear_P ... orithm.pdf 2.74 MB Close viewer /islandora/object/uuid:92e73e76-4dd8-4cb2-85ab-6a96a40b13c1/datastream/OBJ/view