Variable Neighborhood Search Methods for the Dynamic Minimum Cost Hybrid Berth Allocation Problem
نویسندگان
چکیده
منابع مشابه
Variable neighborhood search for minimum cost berth allocation
The berth allocation problem is to allocate space along the quayside to incoming ships at a container terminal in order to minimize some objective function. We consider minimization of total costs for waiting and handling as well as earliness or tardiness of completion, for all ships. We assume ships can arrive at any given time, i.e., before or after the berths become available. The resulting ...
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In the Berth Allocation Problem (BAP) the aim is to optimally schedule and assign ships to berthing areas along a quay. The objective is the minimization of the total (weighted) service time for all ships, defined as the time elapsed between the arrival in the harbor and the completion of handling. Two versions of the BAP are considered: the discrete case and the continuous case. The discrete c...
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Main methods, algorithms and applications of the Variable Neighborhood Search metaheuristic are surveyed, in view of a chapter of the Encyclopedia of Optimization.
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The Berth Allocation Problem (BAP) consists on programming and allocating ships to berthing areas along a quay. The BAP is modeled as a vehicle routing problem and a recently proposed evolutionary hybrid method denominated PTA/LP is used to solve it. The PTA/LP combines the Population Training Algorithm with Linear Programming to generate improving incoming columns in a column generation proces...
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ژورنال
عنوان ژورنال: Information Technology And Control
سال: 2018
ISSN: 2335-884X,1392-124X
DOI: 10.5755/j01.itc.47.3.20420