The Experts below are selected from a list of 49011 Experts worldwide ranked by ideXlab platform
Renbin Xiao - One of the best experts on this subject based on the ideXlab platform.
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modeling and simulation of dynamic ant colony s Labor Division for task allocation of uav swarm
Physica A-statistical Mechanics and Its Applications, 2018Co-Authors: Renbin Xiao, Jie LiuAbstract:Abstract The problem of unmanned aerial vehicle (UAV) task allocation not only has the intrinsic attribute of complexity, such as highly nonlinear, dynamic, highly adversarial and multi-modal, but also has a better practicability in various multi-agent systems, which makes it more and more attractive recently. In this paper, based on the classic fixed response threshold model (FRTM), under the idea of “problem centered + evolutionary solution” and by a bottom-up way, the new dynamic environmental stimulus, response threshold and transition probability are designed, and a dynamic ant colony’s Labor Division (DACLD) model is proposed. DACLD allows a swarm of agents with a relatively low-level of intelligence to perform complex tasks, and has the characteristic of distributed framework, multi-tasks with execution order, multi-state, adaptive response threshold and multi-individual response. With the proposed model, numerical simulations are performed to illustrate the effectiveness of the distributed task allocation scheme in two situations of UAV swarm combat (dynamic task allocation with a certain number of enemy targets and task re-allocation due to unexpected threats). Results show that our model can get both the heterogeneous UAVs’ real-time positions and states at the same time, and has high degree of self-organization, flexibility and real-time response to dynamic environments.
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Modeling and simulation of dynamic ant colony’s Labor Division for task allocation of UAV swarm
Physica A: Statistical Mechanics and its Applications, 2018Co-Authors: Renbin Xiao, Jie LiuAbstract:Abstract The problem of unmanned aerial vehicle (UAV) task allocation not only has the intrinsic attribute of complexity, such as highly nonlinear, dynamic, highly adversarial and multi-modal, but also has a better practicability in various multi-agent systems, which makes it more and more attractive recently. In this paper, based on the classic fixed response threshold model (FRTM), under the idea of “problem centered + evolutionary solution” and by a bottom-up way, the new dynamic environmental stimulus, response threshold and transition probability are designed, and a dynamic ant colony’s Labor Division (DACLD) model is proposed. DACLD allows a swarm of agents with a relatively low-level of intelligence to perform complex tasks, and has the characteristic of distributed framework, multi-tasks with execution order, multi-state, adaptive response threshold and multi-individual response. With the proposed model, numerical simulations are performed to illustrate the effectiveness of the distributed task allocation scheme in two situations of UAV swarm combat (dynamic task allocation with a certain number of enemy targets and task re-allocation due to unexpected threats). Results show that our model can get both the heterogeneous UAVs’ real-time positions and states at the same time, and has high degree of self-organization, flexibility and real-time response to dynamic environments.
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Labor Division Artificial Bee Colony Algorithm for Numerical Function Optimization
2014Co-Authors: Renbin Xiao, Yingcong WangAbstract:Swarm intelligence is briefly defined as the collective behavior of decentralized and self-organized swarms. Self-organization and Labor Division are the two key components of swarm intelligence. Artificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence-based algorithms. The behavior of bees in ABC algorithm satisfies the self-organization features, but there is no specific Labor Division mechanism in ABC algorithm. In this work, we propose an improved ABC algorithm called Labor Division artificial bee colony (LDABC) algorithm by incorporating the Labor Division mechanism into ABC algorithm, which is achieved by individual specialization and role plasticity. We specify three different search methods for employed bees, onlooker bees and scout bees to realize individual specialization, these search methods are related to food source quality, enable bees to maximize exploitation of food source. Role plasticity is achieved by combining with cellular automata, where the roles of bees are not static but vary with their surrounding environment, enable bees not to limit to one search method. The different search modes and the flexibility of the search behaviors make our algorithm achieve a better balance between exploration and exploitation. The experimental results tested on 13 benchmark functions and CEC-2013 test functions demonstrate a competitive performance.
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Modeling and Simulation of Ant Colony’s Labor Division: A Problem-Oriented Approach
Swarm Intelligence and Bio-Inspired Computation, 2013Co-Authors: Renbin XiaoAbstract:In view of Labor Division in swarm intelligence, a new research paradigm of “problem-oriented approach to swarm intelligence” is constructed. The key to the success of such an approach is to grasp the features of problem objects sufficiently. At first, the Labor Division behaviors of ant colonies are discoursed and some descriptions of ant colony’s Labor Division models are given. Taking three practical problems as the backgrounds, the corresponding modeling and simulation approaches to ant colony’s Labor Division are investigated. Considering the diverse nature of virtual enterprise tasks, ant colony’s Labor Division model with multitask is proposed. Similarly, ant colony’s Labor Division model with multistate is also proposed by considering the diverse characteristics of product varieties in pull production systems. According to the relation of resource constraints of task allocation in resilient supply chains, ant colony’s Labor Division model with multiconstraint is put forward. Finally, the key points to implement “problem-oriented approach to swarm intelligence” are refined and expounded.
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MODELING AND SIMULATION OF ANT COLONY'S Labor Division WITH CONSTRAINTS FOR TASK ALLOCATION OF RESILIENT SUPPLY CHAINS
International Journal on Artificial Intelligence Tools, 2012Co-Authors: Renbin Xiao, Xiaoguang GongAbstract:Emergency incidents increase the uncertainty of supply chain environment, and also make the supply chain vulnerability expose. Creating resilient supply chain is an effective way to overcome the supply chain vulnerability. The supply chain characteristics of self-adaptation and self-coordination are consistent with the self-organization feature of ant colony's Labor Division. In this paper, a generalized ant colony's Labor Division model with constraints is provided, which is used to construct the ant colony's Labor Division model with constraints of resilient supply chain to solve task allocation of resilient supply chains. The simulation principle and algorithm of resilient supply chain are provided based on the proposed model and task allocation of the supply chain is analyzed from the five aspects, that is, task allocation status, supply chain coordination, emergency incidents' impact to task allocation, task allocation rate and the influence of different incidents for task allocation. The simulation results show that, with the proposed model, it is effective to allocate resilient supply chain tasks and has excellent performance, such as faster response and robustness.
Wei Yapin - One of the best experts on this subject based on the ideXlab platform.
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Metropolitanization and the Mechanisms of Spatial Labor Division——and Some Discussion on Spatial Policies in China's Urbanization
Urban Studies, 2006Co-Authors: Wei YapinAbstract:Metropolitanization is a spatial phenomenon occurred when the urbanization ratio rose to a certain level. Based on the economic idea of increasing returns, this paper discussed the economic mechanism of metropolitanization, which are interaction among Labor Division and the spatial agglomeration of economic activities. The paper also made some analysis on China's spatial policies about urbanization. The paper suggested that weakening control extent on urban scale, encouraging metropolitanization by regulation on spatial structure should be future direction of spatial policies.
Jie Liu - One of the best experts on this subject based on the ideXlab platform.
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modeling and simulation of dynamic ant colony s Labor Division for task allocation of uav swarm
Physica A-statistical Mechanics and Its Applications, 2018Co-Authors: Renbin Xiao, Jie LiuAbstract:Abstract The problem of unmanned aerial vehicle (UAV) task allocation not only has the intrinsic attribute of complexity, such as highly nonlinear, dynamic, highly adversarial and multi-modal, but also has a better practicability in various multi-agent systems, which makes it more and more attractive recently. In this paper, based on the classic fixed response threshold model (FRTM), under the idea of “problem centered + evolutionary solution” and by a bottom-up way, the new dynamic environmental stimulus, response threshold and transition probability are designed, and a dynamic ant colony’s Labor Division (DACLD) model is proposed. DACLD allows a swarm of agents with a relatively low-level of intelligence to perform complex tasks, and has the characteristic of distributed framework, multi-tasks with execution order, multi-state, adaptive response threshold and multi-individual response. With the proposed model, numerical simulations are performed to illustrate the effectiveness of the distributed task allocation scheme in two situations of UAV swarm combat (dynamic task allocation with a certain number of enemy targets and task re-allocation due to unexpected threats). Results show that our model can get both the heterogeneous UAVs’ real-time positions and states at the same time, and has high degree of self-organization, flexibility and real-time response to dynamic environments.
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Modeling and simulation of dynamic ant colony’s Labor Division for task allocation of UAV swarm
Physica A: Statistical Mechanics and its Applications, 2018Co-Authors: Renbin Xiao, Jie LiuAbstract:Abstract The problem of unmanned aerial vehicle (UAV) task allocation not only has the intrinsic attribute of complexity, such as highly nonlinear, dynamic, highly adversarial and multi-modal, but also has a better practicability in various multi-agent systems, which makes it more and more attractive recently. In this paper, based on the classic fixed response threshold model (FRTM), under the idea of “problem centered + evolutionary solution” and by a bottom-up way, the new dynamic environmental stimulus, response threshold and transition probability are designed, and a dynamic ant colony’s Labor Division (DACLD) model is proposed. DACLD allows a swarm of agents with a relatively low-level of intelligence to perform complex tasks, and has the characteristic of distributed framework, multi-tasks with execution order, multi-state, adaptive response threshold and multi-individual response. With the proposed model, numerical simulations are performed to illustrate the effectiveness of the distributed task allocation scheme in two situations of UAV swarm combat (dynamic task allocation with a certain number of enemy targets and task re-allocation due to unexpected threats). Results show that our model can get both the heterogeneous UAVs’ real-time positions and states at the same time, and has high degree of self-organization, flexibility and real-time response to dynamic environments.
Zhu Ming - One of the best experts on this subject based on the ideXlab platform.
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On the Distributed Task Allocation Strategy for Swarm Robots
Microcomputer Information, 2010Co-Authors: Zhu MingAbstract:The primary goal of task allocation for swarm robots is to realize Labor Division and regulation under local interaction.Aiming at foraging task,distributed task allocation strategy is studied based on response threshold model and efficient Labor Division and regulation is achieved for swarm robotic system.
Li Shuang-feng - One of the best experts on this subject based on the ideXlab platform.
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An Empirical Study on the Regional Labor Division and Cooperation among the West-Straits Economic Area,the Yangtze River Delta and the Pearl River Delta
Journal of Shijiazhuang of University of Economics, 2009Co-Authors: Li Shuang-fengAbstract:Under the background of economic globalization and the regional economic unification,the regional economic integration has become a trend.Effective Labor Division and cooperation in various regions is the key to the promotion of this trend.Therefore,this study mainly analyzes the present situation of the West-Straits Economic Area,the Yangtze River Delta and the Pearl River Delta by means of regional allocation coefficient,regional specialization coefficient and similarity coefficient.Meanwhile,several strategies and suggestions are put forward on how to promote the harmonious development of these three districts in order to facilitate the harmonious and balanced economic development of the East Coast Region.
