杜海峰
公共管理与复杂性科学;流动人口(农民工)的社会网络与社会融合;社会复杂网络与政策网络智能信息处理及应用。
个性化签名
- 姓名:杜海峰
- 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, 教育部“新世纪优秀人才支持计划”入选者
- 职称:-
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学科领域:
管理学
- 研究兴趣:公共管理与复杂性科学;流动人口(农民工)的社会网络与社会融合;社会复杂网络与政策网络智能信息处理及应用。
姓名: 杜海峰
性别:男
教育背景:
2006年6月 美国圣塔菲研究所暑期学校
1999年3月─2001年12月 西安交通大学机械工程学院机械电子工程系机械电子专业,工学博士
1996年9月─1999年6月 西安交通大学机械工程学院流体传动及控制专业,工学硕士
1992年9月─1996年7月 西安交通大学机械工程学院流体传动及控制专业,工学学士
工作经历:
2007年9月─ 西安交通大学公共政策与管理学院,教师,教授 西安交通大学公共管理与复杂性研究中心,常务副主任
2008年1月─2008年2月 美国加州大学尔湾分校人类学系, 访问学者/教授
2005年9月─2006年9月 斯坦福大学莫里森人口资源研究所,博士后
2004年4月─2007年9月 西安交通大学工程训练中心,教师,副教授
2001年12月─2004年4月 西安电子科技大学雷达信号处理国家重点实验室(电子所),智能信息处理研究所博士后
研究方向:
公共管理与复杂性科学
流动人口(农民工)的社会网络与社会融合
社会复杂网络与政策网络
智能信息处理及应用
荣誉与获奖:
焦李成、杜海峰, 人工免疫系统进展与展望. 2007年“中国百篇最具影响学术论文”.
焦李成、刘芳、刘静、公茂果、杜海峰 等,进化计算理论、方法及其应用. 2008年度陕西省科学技术奖一等奖
焦李成, 杜海峰, 刘芳,公茂果. 免疫优化计算,学习和识别. 2007年首届国家“三个一百”原创图书奖
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主页访问
1698
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关注数
1
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成果阅读
1685
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成果数
20
【期刊论文】Multiobjective Immune Algorithm with Nondominated Neighbor-based Selection
杜海峰, Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo
,-0001,():
-1年11月30日
Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective optimization by using a novel nondominated neighbor-based selection technique, an immune inspired operator, two heuristic search operators, and elitism. The unique selection technique of NNIA only selects minority isolated nondominated individuals in the population. The selected individuals are then cloned proportionally to their crowding-distance values before heuristic search. By using the nondominated neighbor-based selection and proportional cloning, NNIA pays more attention to the less-crowded regions of the current trade-off front. We compare NNIA with NSGA-II, SPEA2, PESA-II, and MISA in solving five DTLZ problems, five ZDT problems and three low-dimensional problems. The statistical analysis based on three performance metrics including the Coverage of two sets, the Convergence metric, and the Spacing, show that the unique selection method is effective, and NNIA is an effective algorithm for solving multiobjective optimization problems. The empirical study on NNIA's scalability with respect to the number of objectives shows that the new algorithm scales well along the number of objectives.
Multiobjective optimization,, evolutionary algorithm,, artificial immune system,, crowding-distance,, Pareto-optimal solution.,
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192浏览
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149下载
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【期刊论文】Multiobjective optimization using an immunodominance and clonal selection inspired algorithm
杜海峰, GONG MaoGuo†, JIAO LiCheng, MA WenPing & DU HaiFeng,
Sci China Ser F-Inf Sci, 2008, 51, (8): 1064-1082,-0001,():
-1年11月30日
Based on the mechanisms of immunodominance and clonal selection theory, we propose a new multiobjective optimization algorithm, immune dominance clonal multiobjective algorithm (IDCMA). IDCMA is unique in that its fitness values of current dominated individuals are assigned as the values of a custom distance measure, termed as Ab-Ab affinity, between the dominated individuals and one of the nondominated individuals found so far. According to the values of Ab-Ab affinity, all dominated individuals (antibodies) are divided into two kinds, subdominant antibodies and cryptic antibodies. Moreover, local search only applies to the subdominant antibodies, while the cryptic antibodies are redundant and have no function during local search, but they can become subdominant (active) antibodies during the subsequent evolution. Furthermore, a new immune operation, clonal proliferation is provided to enhance local search. Using the clonal proliferation operation, IDCMA reproduces individuals and selects their improved maturated progenies after local search, so single individuals can exploit their surrounding space effectively and the newcomers yield a broader exploration of the search space. The performance comparison of IDCMA with MISA, NSGA-II, SPEA, PAES, NSGA, VEGA, NPGA, and HLGA in solving six well-known multiobjective function optimization problems and nine multiobjective 0/1 knapsack problems shows that IDCMA has a good performance in converging to approximate Pareto-optimal fronts with a good distribution.
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60浏览
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121下载
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【期刊论文】Self-organizing genetic algorithm based tuning of PID controllers
杜海峰, Zhang Jinhua *, Zhuang Jian, Du Haifeng, Wang Sun'an
Information Sciences 179(2009)1007-1018,-0001,():
-1年11月30日
This paper proposes a self-organizing genetic algorithm (SOGA) with good global search properties and a high convergence speed. First, we introduce a new dominant selection operator that enhances the action of the dominant individuals, along with a cyclical mutation operator that periodically varies the mutation probability in accordance with evolution generation found in biological evolutionary processes. Next, the SOGA is constructed using the two operators mentioned above. The results of a nonlinear regression analysis demonstrate that the self-organizing genetic algorithm is able to avoid premature convergence with a higher convergence speed, and also indicate that it possesses self-organization properties. Finally, the new algorithm is used to optimize Proportional Integral Derivative (PID) controller parameters. Our simulation results indicate that a suitable set of PID parameters can be calculated by the proposed SOGA.
Genetic algorithm, Cyclic mutation, Dominant selection, Self-organizing, PID controller
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93浏览
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537下载
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杜海峰
,-0001,():
-1年11月30日
An algorithm is proposed to detect community structures in social networks. The algorithm begins with a community division based on prior knowledge of the degrees of the nodes and then combines the communities until a clear partition is obtained. In applications such as a computer-generated network, Ucinet networks, and Chinese rural-urban migrants' social networks, the algorithm can achieve higher modularity and greater speed than others in the recent literature.
Social network, community structure, rural-urban migration, modularity
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53浏览
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128下载
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【期刊论文】Optimal approximation of linear systems by artificial immune response
杜海峰, GONG Maoguo, DU Haifeng, & JIAO Licheng
Science in China: Series F Information Sciences 2006 Vol. 49 No.1 63-79,-0001,():
-1年11月30日
This paper puts forward a novel artificial immune response algorithm for optimal approximation of linear systems. A quaternion model of artificial immune response is proposed for engineering computing. The model abstracts four elements, namely, antigen, antibody, reaction rules among antibodies, and driving algorithm describing how the rules are applied to antibodies, to simulate the process of immune response. Some reaction rules including clonal selection rules, immunological memory rules and immune regulation rules are introduced. Using the theorem of Markov chain, it is proofed that the new model is convergent. The experimental study on the optimal approximation of a stable linear system and an unstable one show that the approximate models searched by the new model have better performance indices than those obtained by some existing algorithms including the differential evolution algorithm and the multi-agent genetic algorithm.
approximation of linear systems,, artificial immune systems,, immune response,, clonal selection,, immunological memory.,
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42浏览
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116下载
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【期刊论文】Adaptive chaos clonal evolutionary programming algorithm
杜海峰, DU Haifeng, , GONG Maoguo, LIU Ruochen & JIAO Licheng
Science in China Ser. F Information Sciences 2005 Vol. 48 No.5 579-595,-0001,():
-1年11月30日
Based on the chaos movement and the clonal selection theory, a novel artificial immune system algorithm, Adaptive Chaos Clonal Evolutionary Programming Algorithm (ACCEP), is proposed in this paper. The new algorithm uses the Logistic Sequence to control the mutation scale and uses the Chaos Mutation Operator to control the clonal selection. Compared with SGA and Clonal Selection Algorithm, ACCEP can enhance the precision and stability, avoid prematurity to some extent, and have the high convergence speed. The results of the experiment indicate that ACCEP has the capability to solve complex machine learning tasks, like Multimodal Function Optimization.
chaos,, clonal selection,, evolutionary algorithms.,
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39浏览
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81下载
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【期刊论文】Clonal Strategy Algorithm Based on the hnmune Memory
杜海峰, Rue-Chen Liu, , Li-Cheng Jiao, and Hai-Feng Du
Sept 2005, Vol 20 No 5 PP.728-734,-0001,():
-1年11月30日
Based on tile clonal selection theory and immune memory mcchanism in the natural immune system a novel artificial imnltmc system algorithnl,Clonal Strategy Algorithm based on the Immune Memory(CSAIM),is proposed in this paper The Mgorithm realizes tile evolution of antibody population and tile evolution of nlenlory unit at the Same time and by using clonal selection operator the global optimal computation can be combined with tile local searching According to amibody antibody(Ab-Ag)affinity and antibody antigen(Ab-Ag)affinity.tile algorithm can allot adaptively the scales of memory unit and antibody population It is proved theoretically that CSAIM is convergent with probability 1 And with the conlputer simulations of eight benchmark functions and one instance of traveling salcsillan problem(TSP).it is shown thm CSAIM has strong abilities in having high convergence speed enhancing the diversity of the population and avoiding the prenlature convergence to some extent.
artificial immune systenl.clonal selection,, immunc memory.evolutionary computation,, traveling salesman problem
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43浏览
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33下载
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【期刊论文】An Improved Clone Selection Optimization Algorithm Based on Prior Knowledge
杜海峰, Na Wang, Haifeng Du, , Sun'an Wang
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-1年11月30日
Though clone selection algorithm has been used successfully in many instances of optimizations, there is still difficultness when solving much complicated problems. Using prior knowledge of problems themselves leads a feasible approach. In this paper, two operators, named clonal adjust operator and immunodominance operator are designed based on clonal mechanisms and prior knowledge. With these, an improved clone selection algorithm is put forward to solve NPhard combinatorial optimization. The simulations show that when applied to 0-1 knapsack benchmark data, the algorithm is effective and that achieves better results with quicker convergence than evolutionary algorithm.
artificial immune system, clonal selection, prior knowledge, knapsack problem, optimization
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64浏览
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83下载
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【期刊论文】Small-World Optimization Algorithm for Function Optimization
杜海峰, Haifeng Du, Xiaodong Wu, and Jian Zhuang
L. Jiao et al. (Eds.): ICNC 2006, Part II, LNCS 4222, pp. 264-273, 2006,-0001,():
-1年11月30日
Inspired by the mechanism of small-world phenomenon, some smallworld optimization operators, mainly including the local short-range searching operator and random long-range searching operator, are constructed in this paper. And a new optimization algorithm, Small-World Optimization Algorithm (SWOA) is explored. Compared with the corresponding Genetic Algorithms (GAs), the simulation experiment results of some complex functions optimization indicate that SWOA can enhance the diversity of the population, avoid the prematurity and GA deceptive problem to some extent, and have the high convergence speed. SWOA is shown to be an effective strategy to solve complex tasks.
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75浏览
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【期刊论文】公共管理中复杂性科学研究的进展与展望--以农民工流动研究为例
杜海峰, 朱正威, 李树茁, 白萌
中国行政管理学术论坛,2009(4):114~119,-0001,():
-1年11月30日
公共管理问题日益复杂,其研究范围、重点不断发展变化,单一学科、简单还原论的方法已经难以满足公共管理学科发展需要。本文在简要回顾公共管理科学和复杂性科学研究进展的基础上,通过复杂性科学的农民工流动问题问题研究中的应用实例,说明管理复杂性科学用于公共管理科学研究的必要性的可行性;对复杂性科学视野下公共管理的未来重要研究领域的展望也是本文探讨的问题之一。
公共管理, 复杂性科学, 农民工
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123浏览
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