Title of article :
A multi-vessel quay crane assignment and scheduling problem: Formulation and heuristic solution approach
Author/Authors :
Fu، نويسنده , , Yi-Min and Diabat، نويسنده , , Ali and Tsai، نويسنده , , I-Tsung، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
7
From page :
6959
To page :
6965
Abstract :
This paper presents a new approach to analyze the integrated quay crane assignment and scheduling problem (QCASP). The problem determines the assignment of quay cranes to vessels and the sequence of tasks to be processed by each quay crane simultaneously, and accounts for important considerations such as safety margins between quay cranes (QCs), ordering conditions and vessel priority. Furthermore, QCs can travel from one vessel to another vessel whenever tasks are complete. The integrated problem is difficult to solve with exact methods due to its complexity. Therefore, a genetic algorithm (GA) is proposed to solve the integrated QCASP. Computational results validate the performance of the proposed GA.
Keywords :
Genetic algorithms , Integrated models , Quay crane scheduling , Quay crane assignment
Journal title :
Expert Systems with Applications
Serial Year :
2014
Journal title :
Expert Systems with Applications
Record number :
2355193
Link To Document :
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