This paper focuses on buffer management issues in wormhole-routed torus multicomputer networks. The commonly used buffer organizations are the centralized and dedicated buffer organizations. The results presented in t...
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As the distributed-memory parallel systems become heterogeneous in nature, it is important to devise scheduling policies that take node heterogeneity into account. Previous studies on this topic have focused on homoge...
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For an agent-based system that aims to simulate a large number of agents under different scenarios, a proper partitioning mechanism is an essential factor to the performance of the system. However, there is still an i...
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For an agent-based system that aims to simulate a large number of agents under different scenarios, a proper partitioning mechanism is an essential factor to the performance of the system. However, there is still an issue on selecting/ developing an appropriate partitioning mechanism for a specific agent-based simulation system. One way is to implement distributed agent-based systems using multiple partitioning mechanisms and to compare their performance. However this is in general not feasible. In this paper, we propose a generic framework and a simple evaluation process to address the issue of selecting an appreciate partitioning mechanism by simulating the effect of the partitioning mechanism to predict its performance for an agent-based simulation system.
The availability of low cost high performance hardware such as graphical processing units (GPUs) has been the driving force for considerable change in both traditional high performance computing (HPC), and more recent...
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For an agent-based system that aims to simulate a large number of agents under different scenarios, a proper partitioning mechanism is an essential factor to the performance of the system. However, there is still an i...
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ISBN:
(纸本)9781617386404
For an agent-based system that aims to simulate a large number of agents under different scenarios, a proper partitioning mechanism is an essential factor to the performance of the system. However, there is still an issue on selecting/ developing an appropriate partitioning mechanism for a specific agent-based simulation system. One way is to implement distributed agent-based systems using multiple partitioning mechanisms and to compare their performance. However this is in general not feasible. In this paper, we propose a generic framework and a simple evaluation process to address the issue of selecting an appreciate partitioning mechanism by simulating the effect of the partitioning mechanism to predict its performance for an agent-based simulation system.
Network of workstations (NOW) is a cost-effective alternative to a multiprocessor system. Here we propose a centralized architecture for parallel query processing on network of workstations. We describe a three-level ...
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A systolic screen of size M is a √M × √M mesh-of-processors where each processing element Pij represents the pixel (i,j) of a digitized plane П of √M × √M pixels. In this paper we study the computation ...
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This paper presents a tool for the visualization and simulation of automated stowage plan generation for large containership. The stowage plan is generated automatically based on a heuristic algorithm. The allocation ...
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ISBN:
(纸本)9789881701282
This paper presents a tool for the visualization and simulation of automated stowage plan generation for large containership. The stowage plan is generated automatically based on a heuristic algorithm. The allocation algorithm generates different stowage plan in three main stages which includes basic allocation, special container allocation and various stages of stability adjustments. The purpose of this study is to describe how visualization of stowage plan and simulation of allocation sequences can help in the formulation of new and better stowage allocation algorithm.
Evolutionary algorithms can efficiently solve multi-objective optimization problems (MOPs) by obtaining diverse and near-optimal solution sets. However, the performance of multi-objective evolutionary algorithms (MOEA...
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ISBN:
(纸本)9789881701282
Evolutionary algorithms can efficiently solve multi-objective optimization problems (MOPs) by obtaining diverse and near-optimal solution sets. However, the performance of multi-objective evolutionary algorithms (MOEAs) is often limited by the suitability of their corresponding parameter settings with respect to different optimization problems. The tuning of the parameters is a crucial task which concerns resolving the conflicting goals of convergence and diversity. Moreover, parameter tuning is a time-consuming trial-and-error optimization process which restricts the applicability of MOEAs to provide real-time decision support. To address this issue, we propose a self-adaptive mechanism (SAM) to exploit and optimize the balance between exploration and exploitation during the evolutionary search. This "explore first and exploit later" approach is addressed through the automated and dynamic adjustment of the distribution index of the simulated binary crossover (SBX) operator. Our experimental results suggest that SAM can produce satisfactory results for different problem sets without having to predefine/pre-optimize the MOEA's parameters. SAM can effectively alleviate the tedious process of parameter tuning thus making on-line decision support using MOEA more feasible.
Stowage planning for container vessels concerns the core competence of the shipping lines. As such, automated stowage planning has attracted much research in the past two decades, but with few documented successes. In...
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ISBN:
(纸本)9789881701282
Stowage planning for container vessels concerns the core competence of the shipping lines. As such, automated stowage planning has attracted much research in the past two decades, but with few documented successes. In an ongoing project, we are developing a prototype stowage planning system aiming for large containerships. The system consists of three modules: the stowage plan generator, the stability adjustment module, and the optimization engine. This paper mainly focuses on the stability adjustment module. The objective of the stability adjustment module is to check the global ship stability of the stowage plan produced by the stowage plan generator and resolve the stability issues by applying a heuristic algorithm to search for alternative feasible locations for containers that violate some of the stability criteria. We demonstrate that the procedure proposed is capable of solving the stability problems for a large containership with more than 5000 TEUs.
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