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20th IEEE International Workshops on Enabling Technologies - Infrastructure for Collaborative Enterprises (WETICE)

作者： Bergenti, Federico Blake, M. Brian Cabri, Giacomo Wajid, Usman Univ Parma Dipartimento Matemat I-43100 Parma Italy Univ Modena & Reggio Emilia Dipartimento Ingn dell Informazione Modena Italy Univ Notre Dame Dept Comp Sci & Engn Notre Dame IN 46556 USA Univ Manchester Manchester Business Sch Manchester Lancs England

ISBN: (纸本)9780769544106

The 9(th) edition of the "agent-based computing for Enterprise Collaboration" track at WETICE 2011 focuses on the areas of agent-based services and agent-based solutions for dynamic collaborations. The purpose of this track is to bring together researches in the fields of software agents as they relate to the context of enterprise collaboration. This report briefly discusses the content of the papers presented in the track by respective authors.

关键词： agent-based computing service-oriented computing enterprise collaboration

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Three New Design Patterns for Scalable agent-based computing and Simulation

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INFORMATICA 2024年第2期35卷 379-400页

作者： Najdek, Mateusz Paciorek, Mateusz Turek, Wojciech Byrski, Aleksander AGH Univ Krakow Al Mickiewicza 30 PL-30059 Krakow Poland

Multi -agent approach is very popular for modelling and simulation of complex phenomena, design and programming of decentralised computing systems. Asynchronous beings, which do not share state but communicate using messages are a convenient abstraction for representing various phenomena observed in the real world. When the number of the considered agents grows, the designers and developers of such systems must address the problem of performance. Introducing distribution is often a weapon of choice, which, however, does not guarantee obtaining proper scalability and efficiency. The intensity of communication in a large-scale agent -based system can easily exceed the abilities of a distributed hardware architecture, leading to poor performance. After analysing various distributed agent -based systems, we identified several reasons for limited performance and several architectural solutions, which can help overcoming this problem. The main aim of the presented work is identification and systematization of these architectural solutions in the form of design patterns. As a result, we propose three new design patterns for building scalable distributed agent -based systems. A systematic description of their aims, structure, variants and features is provided, together with examples of applications.

关键词： design patterns multi-agent systems agent-based simulation agent-based computing scalability distribution

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Lamarckian and Lifelong Memetic Search in agent-based computing 20th

Lamarckian and Lifelong Memetic Search in Agent-Based Comput...

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20th European Conference on the Applications of Evolutionary Computation (EvoApplications)

作者： Korczynski, Wojciech Kisiel-Dorohinicki, Marek Byrski, Aleksander AGH Univ Sci & Technol Dept Comp Sci Al Mickiewicza 30 PL-30059 Krakow Poland

ISBN: (纸本)9783319558493;9783319558486

Memetic algorithms when used with care can help in balancing exploitation and exploration of the metaheuristics, without the overhead measured by the rapidly increased number of function fitness calls. The paper tackles such balancing of use of metaheuristics in an agent-oriented setting. In particular, application of local search during a computing agent's life is researched. The results shown for selected benchmark functions are presented along with necessary statistic testing.

关键词： Memetic algorithms agent-based computing Continuous optimization Metaheuristics

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Differential Evolution in agent-based computing 11th

Differential Evolution in Agent-Based Computing

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11th Asian Conference on Intelligent Information and Database Systems (ACIIDS)

作者： Godzik, Mateusz Grochal, Bartlomiej Piekarz, Jakub Sieniawski, Mikolaj Byrski, Aleksander Kisiel-Dorohinicki, Marek AGH Univ Sci & Technol Fac Comp Sci Elect & Telecommun Dept Comp Sci Al Mickiewicza 30 PL-30059 Krakow Poland

ISBN: (纸本)9783030148027

Evolutionary multi-agent systems (EMAS) turned out to be quite efficient technique for solving complex problems, both benchmark ones (as well-known multi-dimensional functions, e.g. Rastrigin, Schwefel etc) and more practical ones (like Optimal Golomb Ruler or Low Autocorrelation Binary Sequence). However the already classic design of the EMAS (these metaheuristics have been developed for over 15 years) has still many places for improvement. Hybridization is one of such means, and it turns out that incorporating Differential Evolution mechanisms into EMAS (altering the reproduction strategy by making it more social-aware) improves the accuracy of the search. This paper deals with discussion of selected means for hybridization of EMAS with DE, and provides an insight into the efficacy of the novel algorithm compared with classic techniques based on multidimensional benchmark problems.

关键词： Metaheuristics agent-based computing Differential evolution Hybrid algorithms

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MODELING AND SIMULATION OF CONTAINER TERMINAL LOGISTICS SYSTEMS USING HARVARD ARCHITECTURE AND agent-based computing

MODELING AND SIMULATION OF CONTAINER TERMINAL LOGISTICS SYST...

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2010 Winter Simulation Conference

作者： Li, Bin Li, Wen-feng Fujian Univ Technol Dept Econ & Management Univ City Campus Rd 3 Fuzhou 350108 Fujian Peoples R China Wuhan Univ Technol Sch Logist Engn Wuhan 430063 Peoples R China

ISBN: (纸本)9781424498642

As the highly complex logistics system, container terminal logistics systems (CTLS) play an increasingly important role in modern international logistics, and therefore their scheduling and decision-making process of much significance to the operation and competitiveness of harbors. In this paper, the handling, stacking and transportation in CTLS are regarded as a kind of generalized computing and compared with the working in general computer systems, whereupon the Harvard architecture and agent-based computing paradigm are fused to model the operational processing of CTLS, and the kernel thoughts in computer organization, architecture and operating system are introduced into CTLS to support and evaluate container terminal planning, scheduling and decision-making. A new agile, efficient and robust compound modeling and scheduling methodology for CTLS is obtained consequently. Finally a series of single-vessel simulations on handling and transportation are designed, implemented, performed, evaluated and analyzed, which validate the feasibility and creditability of the systematic methodology effectively.

关键词： Harvard architecture agent-based computing computer architecture computer organization container terminal logistics systems container terminal planning decision making decision-making harbors logistics modern international logistics operating system opera

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Autonomous Hybridization of agent-based computing 12th

Autonomous Hybridization of Agent-Based Computing

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12th International Conference on Computational Collective Intelligence (ICCCI)

作者： Godzik, Mateusz Idzik, Michal Pietak, Kamil Byrski, Aleksander Kisiel-Dorohinicki, Marek AGH Univ Sci & Technol Al Mickiewicza 30 PL-30059 Krakow Poland

ISBN: (纸本)9783030630065;9783030630072

Using agent-based systems for computing purposes, where agent becomes not only driver for realizing computing task, but a part of the computing itself is an interesting paradigm allowing for easy yet robust design of metaheuristics, making possible easy parallelization and developing new efficient computing methods. Such methods as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) or Evolutionary Multi agent-System (EMAS) are examples of such algorithms. In the paper novel approach to hybridization of such computing systems is presented. A number of agents doing their computing task can agree to run other algorithm (similarly to high level hybrid proposed by Talbi). The paper focuses on presenting the background and the idea of such algorithm along with firm experimental results.

关键词： agent-based computing Hybrid metaheuristics Nature-inspired algorithms

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Applying autonomous hybrid agent-based computing to difficult optimization problems

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JOURNAL OF COMPUTATIONAL SCIENCE 2022年第0期64卷

作者： Godzik, Mateusz Dajda, Jacek Kisiel-Dorohinicki, Marek Byrski, Aleksander Rutkowski, Leszek Orzechowski, Patryk Wagenaar, Joost Moore, Jason H. AGH Univ Sci & Technol Al Mickiewicza 30 PL-30059 Krakow Poland AGH Univ Sci & Technol Inst Comp Sci Krakow Poland Univ Penn Philadelphia PA USA Cedars Sinai Med Ctr Dept Computat Biomed Los Angeles CA USA

Evolutionary multi-agent systems (EMASs) are very good at dealing with difficult, multi-dimensional problems, their efficacy was proven theoretically based on analysis of the relevant Markov-Chain based model. Now the research continues on introducing autonomous hybridization into EMAS. This paper focuses on a proposed hybrid version of the EMAS, and covers selection and introduction of a number of hybrid operators and defining rules for starting the hybrid steps of the main algorithm. Those hybrid steps leverage existing, well-known and proven to be efficient metaheuristics, and integrate their results into the main algorithm. The discussed modifications are evaluated based on a number of difficult continuous-optimization benchmarks.

关键词： agent-based computing Hybrid metaheuristics Nature-inspired algorithms

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Berth Allocation Problem with Harvard Architecture and agent-based computing

Berth Allocation Problem with Harvard Architecture and Agent...

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The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Bin Li Xin-qing Yan Department of Economics and Management Fujian University of Technology Fuzhou China School of Information Engineering North China University of Water Resources and Electric Power Zhen

ISBN: (纸本)9781424472352

The berth allocation problem (BAP) has been the focus and hotspot of systems engineering, industrial engineering and logistics engineering. This paper presented multi-agent system (MAS) model of container terminal landside operation based on Harvard architecture that is a systemic and robust solution to BAP, and obtain the pilot study simulation result that indicates the compound modeling using Harvard architecture and agent-based computing (HA-AC) to BAP is feasible and effective. That also provides a new way to construct intelligent decision support system (IDSS) for container terminal logistics system (CTLS).

关键词： agent-based computing berth allocation problem container terminal Harvard architecture scheduling and decision-making

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Developing agent-based Smart Objects for IoT Edge computing: Mobile Crowdsensing Use Case 11th

Developing Agent-Based Smart Objects for IoT Edge Computing:...

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11th International Conference on Internet and Distributed computing Systems (IDCS)

作者： Leppanen, Teemu Savaglio, Claudio Loven, Lauri Russo, Wilma Di Fatta, Giuseppe Riekki, Jukka Fortino, Giancarlo Univ Oulu Ctr Ubiquitous Comp Oulu Finland Univ Calabria Dept Informat Modelling Elect & Syst Arcavacata Di Rende Italy Univ Reading Dept Comp Sci Reading Berks England

ISBN: (纸本)9783030027384;9783030027377

Software agents have been exploited to handle the inherent dynamicity in the Internet of Things (IoT) systems, as agents are capable of autonomous, reactive and proactive operation in response to changes in their local environment. agents, operating at the network edge, enable leveraging cloud resources into the proximity of the user devices. However, poor interoperability with the existing IoT systems and the lack of a systematic methodology for IoT system development with the agent paradigm have hindered the utilization of software agent technologies in IoT. In this paper, we describe the development process and the system architecture of a mobile crowdsensing service, provided by an agent-based smart object that comprises agents in both edge and user devices. Mobile crowdsensing is an example of such an application that relies on large-scale participatory sensor networks, where participants have active roles in producing information about their environment with their smartphones. This scheme introduces challenges in handling dynamic opportunistic resource availability, due to mobility and unpredicted actions of the participants. We present how ACOSO-Meth (agent-oriented Cooperative Smart Object-Methodology) guidelines the development process systematically from the analysis to the actual agent-based implementation of a crowdsensing service. The implementation is done with the ROagent framework that utilizes resource-oriented architecture and REST principles to integrate agent-based smart objects seamlessly with the programmable Web.

关键词： Smart object Edge computing Internet of Things agent-based computing Programmable web

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Multi-agent simulation of complex heterogeneous models in scientific computing

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MATHEMATICS AND COMPUTERS IN SIMULATION 1997年第1期44卷 43-59页

作者： Joshi, A Drashansky, T Rice, J Weerawarana, S Houstis, E PURDUE UNIV DEPT COMP SCI W LAFAYETTE IN 47907 USA

Electronic prototyping is becoming a part of every scientific inquiry and product design, and is the focus of research in the new scientific field of Computational Science and Engineering. The new grand challenge here is the rapid prototyping of manufactured artifacts and the rapid solution to problems with numerous interrelated elements. This, in turn, requires the fast, accurate simulation of physical processes and design optimization using knowledge and computational models from multiple disciplines in science and engineering. In this paper, we formulate a mathematical and software framework for complex rapid prototyping. Its design utilizes the current computer network infrastructures and high performance computation technologies. Its functionality includes adaptability and intelligence with respect to end-users and hardware platforms. We present the architecture of this framework, named Sciagents, using a multi-agent software model encapsulating a collaborating mathematical method. We also briefly discuss some issues related to legacy software reuse that we faced in the implementation. The design of Sciagents allows wholesale reuse of scientific software and provides a natural approach to parallel and distributed problem solving.

关键词： distributed problem solving agent-based computing simulation heterogeneous models software reuse and evolution

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