The berth allocation problem (BAP) is an NP-hard in maritime traffic scheduling that significantly influences the operational efficiency of container terminal. This paper formulates BAP as a permutation-based combinatorial optimization and proposes improved ant colony system (ACS) algorithm to solve it. proposed ACS has three main contributions. First, adaptive heuristic information (AHI) mecha...

This article deals with the extremely difficult problem faced by a large number of smaller ports: how to enable small container terminals simultaneously receive two ships post-Panamax size, and at same time provide effective transshipment operations on an individual terminal subsystem, which would fast turnaround ship in port possibility increase annual traffic. For this purpose, simulation app...

In this paper, we are interested in the modeling and the resolution of the dynamic and discrete berth allocation problem which is noted DDBAP. To resolve this problem, we propose a heuristic approach of optimization which combines two concepts: agent and heuristics. This approach is based on the use of the multi-agent negotiation, the contract net protocol, and a set of heuristics such as the W...

Over the years, the demand for maritime transportation has rapidly increased [1], [2]. This usually leads to an increasing in competition among different ports in providing efficient services. Port managers face significant challenges in efficiently utilizing the given resources to provide a cost-effective service [1]. Among many optimization and decision making problems in the port management ...

This work presents a model for the Tramp Ship Scheduling problem including berth allocation considerations, motivated by a real case of a shipping company. The aim is to determine the travel schedule for each vessel considering multiple docking and multiple time windows at the berths. This work is innovative due to the consideration of both spatial and temporal attributes during the scheduling ...

This paper focuses on the operational and strategic planning decisions related to the quayside of container terminals. We introduce an integrated operational research (OR) and system dynamics (SD) approach to solve the Berth Allocation Problem (BAP) and the Quay Crane Assignment Problem (QCAP). A BAPQCAP optimization modeling approach which considers practical aspects not studied before in the ...