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作者： Zeng, Fanchao Low, Malcolm Yoke Hean Decraene, James Zhou, Suiping Cai, Wentong Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore

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.

关键词： Evolutionary algorithms

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Stowage planning of large containership with tradeoff between crane workload balance and ship stability

Stowage planning of large containership with tradeoff betwee...

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作者： Fan, Liu Low, Malcolm Yoke Hean Ying, Huang Shell Jing, Hsu Wen Min, Zeng Aye, Win Cho Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore

ISBN: (纸本)9789881701282

This paper describes an effective algorithm for generating basic stowage plans of large containership calling at a given number of ports. The algorithm applies an efficient block-based container allocation heuristic method of our previous work and taking into considerations more constraints in the real-world operations of commercial shipping line. The algorithm divides the cargo-space of a large containership into blocks, and assigns groups of containers to different partitions of the ship according to a set of heuristic rules. We present a practical test case and analyze the stowage plan generated by our system based on critical measurements such as the number of re-handles, crane intensity and ship stability.

关键词： Cranes

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A toolkit to explore lived experience of motivation: When words are not enough

A toolkit to explore lived experience of motivation: When wo...

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International Conference on Pervasive computing Technologies for Healthcare, PervasiveHealth

作者： Lesley Axelrod Madeline Balaam Jane Burridge Penny Probert Smith Geraldine Fitzpatrick Sue Mawson Ian Ricketts Tom Rodden User Centred Technology Laboratory Interactive Systems University of Sussex Brighton UK Human Computer Interaction Grou Technical University of Vienna Vienna Austria School of Health Sciences University of Southampton Southampton UK School of Computing University of Dundee Dundee UK Department Engineering Science University of Oxford Oxford UK Department Computer Science University of Nottingham UK Culture Laboratory Newcastle University Newcastle upon Tyne UK Centre for Health and Social Care Research Sheffield Hallam University Sheffield UK

Designing to support motivation is an increasingly important issue, especially as pervasive technologies are used to facilitate various healthy behaviour changes. There are many motivation theories but these do not map specifically to inform design. In 'Motivating Mobility' we explore the lived experiences of motivation of people with stroke, in order to design rehabilitation technologies. Motivation varies between people, between contexts and over time and can be 'difficult to express', particularly for those with communication problems. We describe development of a theoretically based toolkit, principled in both content and form, and using multiple modes of communication, aimed at gathering motivational requirements in order to inspire design. We show use of the toolkit, discuss the rich data collected and reflect on how well the approach works and ties requirements, via their elicitation tool, back to theory. This toolkit has potential to inform design for motivational effect in similar pervasive health applications.

关键词： Educational institutions Interviews Games Cultural differences Probes Human computer interaction Materials

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A toolkit to explore lived experience of motivation: When words are not enough

A toolkit to explore lived experience of motivation: When wo...

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2011 5th International Conference on Pervasive computing Technologies for Healthcare and Workshops, PervasiveHealth 2011

作者： Axelrod, Lesley Balaam, Madeline Burridge, Jane Smith, Penny Probert Fitzpatrick, Geraldine Mawson, Sue Ricketts, Ian Rodden, Tom User Centred Technology Lab Interactive Systems Informatics University of Sussex Falmer Brighton BN1 9QH United Kingdom Culture Lab Newcastle University Newcastle upon Tyne NE1 7RU United Kingdom School of Health Sciences University of Southampton Southampton S017 1BJ United Kingdom Dept Engineering Science University of Oxford Oxford 0X1 3PJ United Kingdom Human Computer Interaction Group Technical University of Vienna Favoritenstrase 9-11 A-1040 Vienna Austria Centre for Health and Social Care Research Sheffield Hallam University Sheffield S10 2BP United Kingdom School of Computing University of Dundee Dundee DD1 4HN United Kingdom Dept. Computer Science University of Nottingham NG8 IBB United Kingdom

ISBN: (纸本)9781936968152

关键词： Motivation

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Evolving agent-based simulations in the clouds

Evolving agent-based simulations in the clouds

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3rd International Workshop on Advanced Computational Intelligence, IWACI 2010

作者： Decraene, James Cheng, Yong Yong Hean Low, Malcolm Yoke Zhou, Suiping Cai, Wentong Choo, Chwee Seng Parallel and Distributed Computing Center School of Computer Engineering Nanyang Technological University Singapore Singapore DSO National Laboratories 20 Science Park Drive Singapore Singapore

ISBN: (纸本)9781424463343

Evolving agent-based simulations enables one to automate the difficult iterative process of modeling complex adaptive systems to exhibit pre-specified/desired behaviors. Nevertheless this emerging technology, combining research advances in agent-based modeling/simulation and evolutionary computation, requires significant computing resources (i.e., high performance computing facilities) to evaluate simulation models across a large search space. Moreover, such experiments are typically conducted in an infrequent fashion and may occur when the computing facilities are not fully available. The user may thus be confronted with a computing budget limiting the use of these "evolvable simulation" techniques. We propose the use of the cloud computing paradigm to address these budget and flexibility issues. To assist this research, we utilize a modular evolutionary framework coined CASE (for complex adaptive system evolver) which is capable of evolving agent-based models using nature-inspired search algorithms. In this paper, we present an adaptation of this framework which supports the cloud computing paradigm. An example evolutionary experiment, which examines a simplified military scenario modeled with the agent-based simulation platform MANA, is presented. This experiment refers to Automated Red Teaming: a vulnerability assessment tool employed by defense analysts to study combat operations (which are regarded here as complex adaptive systems). The experimental results suggest promising research potential in exploiting the cloud computing paradigm to support computing intensive evolvable simulation experiments. Finally, we discuss an additional extension to our cloud computing compliant CASE in which we propose to incorporate a distributed evolutionary approach, e.g., the island-based model to further optimize the evolutionary search.

关键词： Cloud computing

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Modeling Human-Like Decision Making for Virtual Agents in Time-Critical Situations

Modeling Human-Like Decision Making for Virtual Agents in Ti...

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International Conference on Cyberworlds

作者： Linbo Luo Suiping Zhou Wentong Cai Michael Lees Malcolm Yoke Hean Low Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Singapore

Generating human-like behaviors for virtual agents has become increasingly important in many applications, such as crowd simulation, virtual training, digital entertainment, and safety planning. One of challenging issues in behavior modeling is how virtual agents make decisions given some time-critical and uncertain situations. In this paper, we present HumDPM, a decision process model for virtual agents, which incorporates two important factors of human decision making in time-critical situations: experience and emotion. In HumDPM, rather than relying on deliberate rational analysis, an agent makes its decisions by matching past experience cases to the current situation. We propose the detailed representation of experience case and investigate the mechanisms of situation assessment, experience matching and experience execution. To incorporate emotion into HumDPM, we introduce an emotion appraisal process in situation assessment for emotion elicitation. In HumDPM, the decision making process of an agent may be affected by its emotional states when: 1) deciding whether it is necessary to do a re-match of experience cases, 2) determining the situational context, and 3) selecting experience cases. We illustrate the effectiveness of HumDPM in crowd simulation. A case study for emergency evacuation in a subway station scenario is conducted, which shows how a varied crowd composition leads to different evacuation behaviors, due to the retrieval of different experiences and the variation of agents' emotional states.

关键词： Appraisal Decision making Humans Computational modeling Context Time factors Context modeling

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Automated stowage planning for large containerships with improved safety and stability 10

Automated stowage planning for large containerships with imp...

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Simulation Winter Conference

作者： Min Zeng Malcolm Yoke Hean Low Wen Jing Hsu Shell Ying Huang Fan Liu Cho Aye Win Parallel and Distributed Computing Centre School of Computer Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781424498642

Stowage planning for container ships is a core activity of shipping lines. As the size of containership increases, generating a stowage plan with good safety and stability for a large containership becomes increasingly difficult. In this paper, we present an automated stowage planning system for large containerships which consists of three modules: the stowage plan generator, the safety and stability adjustment module, and the optimization engine. This paper focuses on the safety and stability adjustment module which resolves the stability issues of a stowage plan by adjusting the distribution of container weights by stowing containers in alternative feasible locations and fine-tuning stability parameters through adjusting the ballast in tanks onboard. Using shipping data for a large 7000 TEUs containership on a multi-port voyage, we demonstrate that our system can generate stowage plans with improved safety and stability compared to those generated by experienced planners.

关键词： Containers Marine vehicles Planning Electronic ballasts Stability analysis Safety Loading

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A framework of user-driven data analytics in the cloud for course management

A framework of user-driven data analytics in the cloud for c...

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18th International Conference on computers in Education: Enhancing and Sustaining New Knowledge Through the Use of Digital Technology in Education, ICCE 2010

作者： Zhang, Jie Tjhi, William Chandra Lee, Bu Sung Lee, Kee Khoon Vassileva, Julita Looi, Chee Kit School of Computer Engineering Nanyang Technological University Singapore A Star Institute of High Performance Computing Singapore Department of Computer Science University of Saskatchewan Canada Centre of Excellence for Learning Innovation National Institute of Education Singapore

ISBN: (纸本)9789834251253

In this paper, we describe our goal of an effective course management system for assisting course managers to make informed decisions about what materials should be most appropriate to be presented to students (learners) and what learning strategies or methods should be used for the students. The system is supported by our design of a novel framework for user-driven data analytics in the cloud. Different modules of the framework will be illustrated in detail in the context of course management.

关键词： Learning systems

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2011年 6844 LNCS卷

作者： Dehne, Frank Iacono, John Sack, Jörg-Rüdiger Carleton University School of Computer Science Parallel Computing and Bioinformatics Laboratory VISM Building 1125 Colonel By Drive OttawaONK1S 5B6 Canada Polytechnic Institute of NewYork University Department of Computer Science and Engineering 5 MetroTech Center NewYorkNY11201 United States Carleton University School of Computer Science Herzberg Laboratories Herzberg Building 1125 Colonel By Drive OttawaONK1S 5B6 Canada

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News filtering and summarization on the Web

News filtering and summarization on the Web

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作者： Wu, Xindong Wu, Gong-Qing Xie, Fei Zhu, Zhu Hu, Xue-Gang Lu, Hao Li, Huiqian School of Computer Science and Information Engineering Hefei University of Technology China Zhejiang Taobao Network China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences China Center for Social Computing and Parallel Systems Institute of Automation Chinese Academy of Sciences China

The news filtering and summarization (NFAS) system can automatically recognize Web news pages, retrieve each news page's title and news content, and extract key phrases. This extraction method substantially outper...

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