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Under the environment with complex sets of objectives and constraints, traditional approaches for logistics scheduling and planning typically result in a large monolithic model that is difficult to solve, understand, and maintain. The paper proposes a multi-agent constraint programming framework for logistics scheduling, especially under the dynamic and/or difficult circumstances such as traffic jam...
Logistic planning and programming of construction machinery involves complex sets of objectives and constraints; therefore traditional approaches typically result in a large monolithic model that is difficult to solve, understand, and maintain. In order to tackle large, particularly combinatorial, problems in logistic support for construction machinery, we design a constraint programming system, namely...
Logistic planning and programming of construction machinery involves complex sets of objectives and constraints; therefore traditional approaches typically result in a large monolithic model that is difficult to solve, understand, and maintain. In order to tackle large, particularly combinatorial, problems in logistic support for construction machinery, we design a constraint programming system, namely...
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