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Optimal Co-evolutionary Strategies for the Competitive Maritime Network Design Problem

机译:竞技海网设计问题的最优共同策略

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The current paper is focusing into the less well-defined transportation networks as those that are formed by the integration (combination) of alternative transportation means for servicing freight movements and the special inter-dependencies that are developed by this integration. Here the market of maritime facilities is modelled as an n-person non-cooperative game among port authorities who control the attractiveness of their terminal facilities. By taking the above interdependencies into consideration, optimal decisions of port authorities are obtained by extending the classical single leader-multiple followers Stackelberg game-theoretic formulation of the Network Design Problem (NDP) to its complete form of multiple leaders-multiple followers Competitive NDP (CNDP). The estimation of the equilibrium point of the above formulation is made by incorporating a novel evolutionary game-theoretic genetic operator into a hybrid Genetic Algorithm. The results from the application of the proposed framework into a realistic part of the East Mediterranean freight network show the potential of the method to support decisions of port authorities concerning future infrastructure investments.
机译:当前纸张被聚焦到较不明确定义的交通网络作为通过替代运输装置用于服务货运运动和由这种集成开发的特殊相互依赖性的集成(结合)形成的那些。这里的海上设施市场被模拟为港务局谁控制了终端设施的吸引力之间的n人非合作博弈。通过采取上述相互依赖性考虑,港务局的最优决策是由传统的单一的领导者,多随从的网络设计问题(NDP)的斯坦博格博弈论配方延伸到多个领导,多随从的完整形式竞争NDP(获得全国保卫人民大会)。上述配方的平衡点的估计是通过结合了新的进化博弈论遗传算到混合遗传算法制成。从应用程序中提出的框架进入地中海东部货运网络的现实部分的测试结果表明,该方法的关于未来的基础设施投资港口当局的支持决策的潜力。

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