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- W2897157067 abstract "The uncertainty of shipper's demand, unit cost and operating time, which can be described as interval numbers, and an optimization model for port supply chain based on minimization of costs and total operating cycle is established. As the objective function is a nonlinear interval uncertain problem, a double nested genetic algorithm is designed for the assignment problem. In the algorithm, the inner-layer genetic algorithm (IP-GA) is used to solve the objective function interval in the uncertainty domain, while the outer layer is nondominated sorting genetic algorithm (NSGA-II). Finally, a case study is given to demonstrate the superiority and feasibility of the proposed algorithm for multi-objective interval optimization." @default.
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- W2897157067 date "2018-07-01" @default.
- W2897157067 modified "2023-09-27" @default.
- W2897157067 title "Multi-objective Assignment Optimization of Port Supply Chain Based on Interval Analysis" @default.
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- W2897157067 doi "https://doi.org/10.23919/chicc.2018.8482791" @default.
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