刘弘
主要研究内容包括三个方面:1. 多agent系统的研究。2. 软构件生成及集成环境的研究。3. 支持创新概念设计的协同进化计算技术研究。
个性化签名
- 姓名:刘弘
- 目前身份:
- 担任导师情况:
- 学位:
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学术头衔:
博士生导师
- 职称:-
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学科领域:
计算机软件
- 研究兴趣:主要研究内容包括三个方面:1. 多agent系统的研究。2. 软构件生成及集成环境的研究。3. 支持创新概念设计的协同进化计算技术研究。
个人简历
刘弘,教授,博士,山东师范大学信息科学与工程学院院长,1998年于中国科学院计算技术研究所获工学博士学位,管理工程与工业工程博士点及计算机科学与技术一级学科硕士点学术带头人。山东省“分布式计算机软件新技术”重点实验室主任,国家特色专业计算机科学与技术项目负责人。2007年当选为全国十七大代表,是山东省第七、八、九届党代会代表,山东省计算机学会副理事长。
自1982年起任教,主讲过面向对象程序设计、数据结构、软件工程、人工智能等多门计算机主干课程,主编过5本计算机教材。主持了4项国家自然科学基金项目及多项山东省自然科学基金,山东省科技攻关项目。作为项目负责人在香港理工大学主持完成两项研究员基金项目。
获山东省科技进步一等奖一项(首位),自然科学二等奖首位、第二位各一项,山东省科技进步二等奖首位一项,第二位两项,山东省优秀教学成果奖一等奖一项(首位),二等奖一项(第二位)。山东省高等学校优秀科研成果一等奖两项(首位),受理国家发明专利3项,获国家软件著作权4项。近年来在SCI和EI检索及其它国内外著名学术刊物上发表论文100多篇。
获全国女职工建功立业标兵,山东省有突出贡献的中青年专家,首届泉城学者,首届山东省优秀研究生指导教师,山东省高校巾帼建功十大标兵及山东省三八红旗手等荣誉称号。
研究方向
所从事的研究为分布式人工智能、软件工程及计算机辅助设计的交叉研究。 主要研究内容包括三个方面:
1.多agent系统的研究;
2.软构件生成及集成环境的研究;
3.支持创新概念设计的协同进化计算技术研究
科研成果
基于分形技术的产品包装及防伪标志创新设计,2009,山东省科技进步一等奖,第一位
基于仿生原理的计算智能及其在城市建设中的应用研究,2006,山东省自然科学二等奖,第一位
支持进化计算的多Agent协同设计系统,2005,山东省科技进步二等奖,第一位
基于非线性模型的创新概念设计系统,2005, 山东省自然科学二等奖,第二位
基于SVM及进化计算技术的创新设计系统,2008,山东省科技进步二等奖,第二位
创新设计软构件及集成系统, 2006, 山东省科技进步二等奖,第二位
多agent系统构造及应用研究,2004,山东省自然科学三等奖,第一位
软构件集成环境的研究,2003,山东省科技进步二等奖,第二位
基于软构件的软件开发环境,2002,山东省科技进步三等奖,第一位
具有类比学习机制的优化排料系统,2001,山东省科技进步三等奖,第一位
创新设计技术研究,2005,山东省软科学成果二等奖,第一位
教学成果
高校教学过程质量保障及教学质量评估体系的研究与实践,2009,山东省优秀教学成果一等奖,第一位
面向新世纪计算机学科教学改革的研究与实践,2004,山东省优秀教学成果二等奖,第二位
面向对象程序设计,2009,山东省精品课程,第一位
软件服务外包及创新能力培养教学团队,山东省省级教学团队,2010,第一位
在研项目
1. 动态自适应协同进化的学习机制研究,来源: 国家自然科学基金(60970004)
2. 动态协同进化计算的学习机制研究,来源: 山东省自然科学基金重点项目(Z2008G02)
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关注数
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成果阅读
383
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成果数
18
【期刊论文】Generative 3D Images in a visual evolutionary computing system
刘弘, Hong Liu
ComSIS Vol. 7, No.1, Special Issue, February 112 2010,-0001,():
-1年11月30日
This paper presents a novel computer-aided design system which uses a computational approach to producing 3D images for stimulating creativity of designers. It introduces the genetic algorithm first. Then a binary tree based genetic algorithm is presented. This approach is illustrated by a 3D image generative example, which uses complex function expressions as chromosomes to form a binary tree, and all genetic operations are performed on the binary tree. Corresponding complex functions are processed by MATLAB software to form 3D images of artistic flowers. This generative design is integrated with a visualization interface, which allows designers to interact and select from instances for design evolution. It shows the system is able to enhance the possibility of discovering various potential design solutions.
Evolutionary computation,, computer-aided design,, generative design,, complex function
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【期刊论文】Context-aware agents in cooperative design environment
刘弘, Hong Liu
Int. J. Computer Applications in Technology, Vol. 39, No.4, 2010,-0001,():
-1年11月30日
This paper presents a context-aware multi-agent cooperative design system framework. It analyses the related work of multi-agent cooperative design system and context-awareness computing first. Then, it presents the architecture of a multi-agent cooperative design system and the structure of a design agent in cooperative environment. Subsequently, it introduces the XML-based context modelling, capturing and processing in the environment. Finally, the design process is illustrated by a gear reducer design instance. The purpose of the paper is to bridge pervasive computing with agents through context-awareness and apply it in cooperative design.
pervasive computing, context-aware, design agent, cooperative design.,
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【期刊论文】Supporting learning in a shared design environment
刘弘, H. Liu, M.X. Tang, J. Frazer
H. Liu et al. Advances in Engineering Software 32 (2001) 285-293,-0001,():
-1年11月30日
Design is a complex problem solving and knowledge refinement process. Learning is a part of this process that can improve computer based design support systems by using the knowledge representing the experience and expertise of designers. Learning from past design examples, and acquiring new knowledge during the process of design are closely related activities that must be supported by future computer supported design systems. This paper analyses the relation between design and learning activity to propose a learning model of design first. Then it presents the software architecture of a design agent with an inductive learning mechanism. Subsequently it introduces the knowledge representation and learning algorithms in a multi-agent design system. Finally, the paper examines the possible ways in which the proposed learning model and the software architecture can be placed in an industrial and engineering design context for developing application tools for design support.
Design agent, Sharing learning, Knowledge representation
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【期刊论文】Supporting evolution in a multi-agent cooperative design environment
刘弘, Hong Liu, , Mingxi Tang, John Hamilton Frazer
H. Liu et al. Advances in Engineering Software 33 (2002) 319-328,-0001,():
-1年11月30日
New architectures for next-generation of computer-aided design environments need to be distributed, evolutive, and cooperative. This paper presents a multi-agent design environment that supports cooperative and evolutionary design by cooperation of a group of agents. Multi-agent system architecture offers a promising framework with its novel approach for dynamically creating and managing agent communities in widely distributed and ever-changing design environments; while the genetic algorithm based approach provides a foundation for supporting evolutionary and innovative design abilities. The computational and information processing processes involved in evolutionary and distributed environment are discussed in this paper.
Multi-agent system, Cooperative design, Evolutionary computing, Improved genetic algorithm
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【期刊论文】Supporting creative design in a visual evolutionary computing environment
刘弘, Hong Liua, Mingxi Tang, John Hamilton Frazer
H. Liu et al. Advances in Engineering Software 35 (2004) 261-271,-0001,():
-1年11月30日
In product design, sketches and images are strong devices for stimulating creativity. This paper presents a novel visual evolutionary computing environment to provide support for creative design. The 2D sketches and 3D images can be generated by combination of evolutionary computing technology and visualization technology in this environment. A tree-based genetic algorithm is illustrated by a reading lamp design example, which uses genetic algorithm with binary mathematical expression tree to form 2D sketches and programming using Visual Ctt6.0 and ACIS to generate 3D images. It shows that the approach is able to generate some creative solutions and demonstrates the potential of computational approach in creative design.
Creative design, Generic algorithm, Mathematical expression tree, Visualization
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【期刊论文】Supporting dynamic management in a multi-agent collaborative design system
刘弘, Hong Liua, Mingxi Tang, John Hamilton Frazer
H. Liu et al. Advances in Engineering Software 35 (2004) 493-502,-0001,():
-1年11月30日
In this paper, we propose a multi-agent collaborative design system in which human designers and software agents interact with each other, exchange design information and keep track of state information to assist with collaborative design. The hierarchical multi-agent system architecture offers a promising framework with their novel approaches for dynamically creating and managing design tasks in widely distributed and ever-changing design environments while the knowledge based design approach provide a foundation for supporting reusable design abilities. The storage of design knowledge and the collaborative design process involved in this environment are introduced in this paper.
Multi-agent system, Collaborative design, Design agent, Design knowledge
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【期刊论文】Evolutionary design in a multi-agent design environment
刘弘, Hong Liu, Mingxi Tang
H. Liu, M. Tang. Applied Soft Computing 6 (2006) 207-220,-0001,():
-1年11月30日
This paper presents a novel evolutionary design approach in a multi-agent design environment. Multi-agent system architecture offers a promising framework for dynamically managing cooperative agents in a distributed environment while the tree structure based generic algorithm provides a foundation for supporting evolutionary and innovative design abilities. Design is a complex knowledge discovery process. Creative design is a human trait that is not easily converted into a computational tool. Rather than to implement the innovative design by computers, this environment is used to stimulate the imagination of designers and extend their thinking space. It wants to explore a feasible and useful evolutionary approach in a distributed environment that will give the designers concrete help for the creative designs. This approach is illustrated by a mobile phone design example, which used binary algebraic expression tree to form sketch shapes and a feature based product tree to produce component combination choices. Because evolution is guided by human selectors, the evolutionary algorithm is not complex. It shows that approach is able to generate some creative solutions, demonstrating the power of explorative evolution.
Multi-agent system, Evolutionary computing, Generic algorithm, Computer-aided design, Creative design
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引用
刘弘, 郑明春, 冯 梅
计算机辅助设计与图形学学报2001年11月第13卷第11期/JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS Nov., 2001, Vol. 13, No. 11,-0001,():
-1年11月30日
设计是一个复杂的问题求解和逐步求精的过程。在计算机辅助设计系统中,从设计范例中学习设计知识可以有效地改善设计系统。文中分析了设计与学习活动之间的关系,提出了一种设计的学习模型及具有归纳学习机制的设计Agent的结构框架,介绍了知识表示和学习算法,及一个支持设计环境中共享学习的多Agnet系统。
设计Agent, 共享学习, 知识表示, CAD
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刘弘, 刘希玉, 唐明晰, John Hamilton Frazer
计算机辅助设计与图形学学报2003年10月第15卷第10期/JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS Oct., 2003, Vol. 15, No. 10,-0001,():
-1年11月30日
介绍一个计算机辅助设计环境,该环境利用进化计算及可视化技术生成二维草图及三维图像,以支持设计人员的创新设计。用一个艺术设计实例介绍了该环境所采用的基于树结构的遗传算法,实例用一般的数学表达式生成艺术品底座外形,用复合函数表达式生成艺术花卉的三维图像。实例表明:文中方法能够生成一些有创意的解,并展示了进化的计算方法在创新设计中的潜力。
创新设计, 遗传算法, CAD, 可视化
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【期刊论文】Generative Design in an Agent Based Collaborative Design System
刘弘, Hong Liu, LiPing Gao, Xiyu Liu
W. Shen et al. CSCWD 2003/2004, LNCS 3168, pp. 105-116, 2005,-0001,():
-1年11月30日
In this paper, we present a generative design method for supporting creative conceptual design in a multi-agent system. The hierarchical multi-agent system architecture offers a promising framework and an evolutionary computational approach provides a basis for supporting generative design in distributed environments. The evolutionary approach relies upon a tree structure rather than a known binary string in general GA (Genetic Algorithm). The system can generate simple 2D sketch shapes, which are generated by using general. Mathematical expressions and selected shapes are dealt with to form 3D components. These components are classified and saved in a SQL sever based database (component base). The complex design is implemented via combination of different components that come from the component base. The layout of components is generated by a genetic algorithm. The generative process is illustrated through an architectural design example.
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