scispace - formally typeset
Search or ask a question
Author

Wang Hui-min

Bio: Wang Hui-min is an academic researcher. The author has contributed to research in topics: Drainage basin & Water resources. The author has an hindex of 1, co-authored 1 publications receiving 12 citations.

Papers
More filters
Journal Article
TL;DR: The system of river basin water resources is viewed as a collaborating accretion network composed of many independent agents, and its complexity is studied with the complex adaptive system (CAS) theory.

12 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: An adaptive allocation model was established for a complex system of regional water and land resources using complex adaptive systems theory and the results indicated that the evolution of the model was consistent with the actual behaviors of adaptive agents.
Abstract: Currently, water and land resources are treated as separate resources in allocation optimization for complex systems of water and land resources, which may have negative impacts on these water-land resource systems. In our study, an adaptive allocation model was established for a complex system of regional water and land resources using complex adaptive systems theory. The users of water and land resources were treated as adaptive agents, and the competition and synergy among various agents toward water and land resources were used as the driving forces for the evolution of the model. The model was accurately solved using a nested genetic algorithm to achieve the optimal joint allocation of regional water and land resources. A case study was conducted in the city of Kiamusze in Heilongjiang Province, and the results indicated that the evolution of the model was consistent with the actual behaviors of adaptive agents. Moreover, after the implementation of the optimized allocation results, the economic benefits in the study area were expected to increase by 3.34 %, and the comprehensive user satisfaction index regarding water increased from 0.61 to 0.73; moreover, the ecological footprint of the ecological sector increased by 5.6 %. Our results provide important guidance for achieving the sustainable use of regional water and land resources.

23 citations

Journal ArticleDOI
TL;DR: A novel reservoir operating rule extraction architecture is proposed based on similarities between the process of extracting reservoirs operating rules and the self-adaptive learning behavior of antibody to antigens in the human immune system, which can provide sufficient decision-making information in view of the physical meanings of the gene schemas contained in the rules.
Abstract: We investigated the complexity of reservoir operation and management as a complex adaptive system in this paper. Based on similarities between the process of extracting reservoirs operating rules and the self-adaptive learning behavior of antibody to antigens in the human immune system, a novel reservoir operating rule extraction architecture is proposed. By using the established co-evolution artificial immune system model (Co-EAISM), a case study of a single water-supply reservoir to provide water consumption for municipals, industries and agricultural irrigation is also presented. Twenty four rules are obtained eventually via Co-EAISM after 500 generations. It is demonstrated that they can identify 92.5% of the training samples and 84.4% of the testing samples, while obtaining the shortage index 2.23(10^1^4m^6) between the predicted and practical release during the testing, which are beyond those by using Radius Basis Function (RBF) as a data mining technology for extracting water-supply reservoir operating rules. Three aspects of operating rule diversity, generality and non-linear division are discussed, considering behaviors, performances and impact factors of the Co-EAISM over the evolution. Through the modeling data and the presented case study, the proposed model has some benefits: (a) it is feasible and effective for self-adaptively extracting the reservoir operating rules to provide a novel route for reservoir operation management; (b) it can self-adaptively track the rules, adjust the population of the rules in corresponding to complex operation environment, and make reasonable release decisions; (c) it drives the rules diversity emergence to capture many niches composed of the operating samples with similar operating attributes, to achieve the non-linear division of the operating samples in the binary space, which helps to acquire the spatial distributions of samples and gain the reservoir operation experience; (d) it can also explore the binary space to deal with subsequent complex changes of the operation environment via the character ''#'' in the schemas of the rules, and furthermore provide sufficient decision-making information in view of the physical meanings of the gene schemas contained in the rules.

11 citations

Journal ArticleDOI
TL;DR: The objective of this paper is to unify collaborative management ideas and the Complex Adaptive System (CAS) theory into a Social Network Analysis (SNA) of Green Supply Chain Management (GSCM) for the sake of sustainable development.
Abstract: The objective of this paper is to unify collaborative management ideas and the Complex Adaptive System (CAS) theory into a Social Network Analysis (SNA) of Green Supply Chain Management (GSCM) for the sake of sustainable development. Based on GSCM, the idea of the Green Supply Chain Network System (GSCNS) was to put forward a holistic solution for the coevolution of enterprises, society and environment. Based on an analysis of the characteristics of CAS, the common mechanisms shared by GSCNS and CAS were discovered; therefore, relative researches revealed the intrinsic similarities. By the application of the CAS theory, entities in GSCNS were considered as agents in being adaptive to, and evolving with, their living environment. Furthermore, a collaborative management architecture for GSCNS was raised. Considering the attributes of GSCNS, the Swarm simulation platform was introduced for modelling and simulation, and the characteristics and advantages of Swarm simulation for GSCNS were analysed and discussed.

8 citations

Proceedings ArticleDOI
11 Dec 2009
TL;DR: An intelligent decision support system (IDSS) of lake water pollution control based on multi-agent model is put forward and will be integrated through a reliable communications and computing framework, which must have high-performance.
Abstract: With the rapidly development of the economic, environmental problem has become one of the most prominent problems of the society. Lake water environmental problem became more and more serious, and it had seriously effect on human health and the socio-economic sustainable development. It is a key project to find a more effective way of water pollution control. An intelligent decision support system (IDSS) of lake water pollution control based on multi-agent model is put forward. This IDSS includes three major modules: 1) An integrated information acquisition and processing system of lake water environment; 2) A model of lake water environment based on multi-agent; 3) A series of intelligent decision-making algorithms. These main modules will be integrated through a reliable communications and computing framework, which must have high-performance.

5 citations

Proceedings ArticleDOI
30 Oct 2009
TL;DR: The paper aims at finding out an effective method to study and solve trans-boundary water conflict on the basis of understanding, early warning and controlling human behaviour in trans-guided water conflict.
Abstract: Applying computer simulation management experiment method to study the issue of trans-boundary water conflict is proposed in the paper. Based on the thought that the nature of water conflict is strained relations among peoples due to water benefit disputes, a trans-boundary water conflict system is regarded as a complex network system composed of conflict players and the interrelationships among them. So, the paper focuses on the fact that to solve water conflict, to control the human behaviours is the key issue. Therefore, firstly, by reviewing the status quo of water conflict model and the related researches, the existing problems of the present studies are analyzed and the computer simulation management experiment method is proposed to set up a human behaviour model and a water conflict multi-agent system. And then, a framework of trans-boundary water conflict model based on qualitative simulation of human behaviour is designed, including the network graph model of trans-boundary water conflict system, agent behaviour modelling, conflict relationship modelling and the model functions of conflict early warning and control. The framework diagram is given in the paper and the related technologies are pointed out. The paper aims at finding out an effective method to study and solve trans-boundary water conflict on the basis of understanding, early warning and controlling human behaviour in trans-boundary water conflict.

3 citations