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.
Original language | English (US) |
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Pages (from-to) | 6959-6965 |
Number of pages | 7 |
Journal | Expert Systems with Applications |
Volume | 41 |
Issue number | 15 |
DOIs | |
State | Published - Nov 1 2014 |
Keywords
- Genetic algorithms
- Integrated models
- Quay crane assignment
- Quay crane scheduling
ASJC Scopus subject areas
- General Engineering
- Computer Science Applications
- Artificial Intelligence