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International Conference on Smart Grids for Smart Cities (SGSC)

作者： ZakiEl-Sharafy, M. Farag, H. E. York Univ Lassonde Sch Engn Elect Engn & Comp Sci Toronto ON Canada

ISBN: (纸本)9783319336817;9783319336800

This paper proposes a new algorithm for optimum self-healing restoration of a smartmicrogrid operating in islanded mode of operation. The objective of the proposed algorithm is to optimize the topological structure of the islanded microgrid system (IMG) via: (1) maximizing the served load after the fault isolation;and (2) minimizing the switching operation costs. The proposed algorithm takes into consideration the system operational constraints in all operating conditions. The new algorithm accounts for droop controlled IMG special operational characteristics. The problem is formulated as a multi-objective optimization problem and solved using ant colony optimization algorithm. The proposed algorithm has been implemented in MATLAB environment and several case studies have been carried to test its effectiveness.

关键词： ant colony optimization algorithm Islanded microgrid Droop control Power system restoration

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An optimization Model for Evacuation Based on Cellular Automata and ant colony algorithm 7

An Optimization Model for Evacuation Based on Cellular Autom...

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7th International Symposium on Computational Intelligence and Design (ISCID)

作者： Ye, Zhiwei Yin, Yujie Zong, Xinlu Wang, Mingwei Hubei Univ Technol Sch Comp Sci Wuhan 430068 Peoples R China

ISBN: (纸本)9781479970056

With the progress of construction technology, the modern buildings become more and more complicated and large-sized. It is difficult to avoid sudden and catastrophic emergency events for interior buildings. Hence, it is very important to establish an evacuation model to simulate evacuation behavior of pedestrians under real condition and make a scientific and effective evacuation plan. For handling with the problems of emergency evacuation path in buildings, an improved cellular automata model based on ant colony optimization algorithm (ACO) is proposed. The proposed model considers the neighbors moving rules of cellular automata and law of export selection rule is used as heuristic information of ant colony optimization algorithm, it reflects the behavior of personnel path choice more really. Finally, the model has been applied to simulate the whole evacuation process in a classroom. By simulating the process of pedestrian evacuation with the model, the results show that the proposed model could achieve shorter evacuation time than basic ACO, it's feasible for solving evacuation planning problem.

关键词： Cellular Automata Model Emergency Evacuation ant colony optimization algorithm

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Optimal Distribution Network Reconfiguration for Load Balancing

Optimal Distribution Network Reconfiguration for Load Balanc...

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China International Conference on Electricity Distribution (CICED)

作者： Yan Yuehao Zhang Zhongqing Bao Wei Xin Jun Qin Limin Du Yaoheng State Grid Zhengzhou Elect Power Supply Co Zhengzhou 450000 Henan Peoples R China Zhengzhou Univ Zhengzhou 450000 Henan Peoples R China

ISBN: (纸本)9781467390682

To cope with increasingly serious three-phase disequilibrium in distribution network, a reconfiguration model is proposed for distribution network with the optimization objective of reducing three-phase disequilibrium. First by analyzing the distribution network in topology, the distribution network reconfiguration problem is converted into a problem of constructing spanning tree of the graph, which is solved by breaking-cycle-basis method. Then by selecting the first-branch randomly and canceling the heuristic value of network, an improved ant colony optimization algorithm is proposed to solve the reconfiguration problem, which can expand the search extent and avoid search stagnation. Specific examples of verification prove that the proposed algorithm can obtain the global best solution with less computation time and higher probability compared to the conventional methods.

关键词： Thriv-phase disequilibrium Distribution network reconstruction ant colony optimization algorithm Graph theory

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An Improved ant colony optimization with Optimal Search Library for Solving the Traveling Salesman Problem

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JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE 2015年第7期12卷 1440-1444页

作者： Pang, Shanchen Ma, Tongmao Liu, Ting China Univ Petr Coll Comp & Commun Engn Qingdao 266580 Shandong Peoples R China Shandong Univ Sci & Technol Coll Informat Sci & Engn Qingdao 266590 Shandong Peoples R China

ant colony optimization algorithm is a kind of heuristic algorithm, which has been widely applied to solve the problem such as TSP (traveling salesman problem). This paper uses the proximity to construct the optimal search library. Based on the idea, an improved ant colony optimization algorithm is put forward. We also define the new heuristic information and the improved pheromone update rules. Thus an improved ant colony optimization algorithm is put forward that provides a better solution to the combinatorial optimization of MTSP (multiple traveling salesman problem) problem with E-mail traffic constraints.

关键词： Optimal Search Library ant colony optimization algorithm Heuristic Information The Improved Pheromone Update MTSP Problem

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Path planning research based on the improved ant colony algorithm in ECDIS 35

Path planning research based on the improved ant colony algo...

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35th Chinese Control Conference (CCC)

作者： Meng, Hao He, Xiaopeng Song, Jingguo Liu, Zhilin Harbin Engn Univ Coll Automat Harbin 150001 Peoples R China

ISBN: (纸本)9789881563910

ECDIS (Electronic Chart Display and Information System) is a real-time navigation system, which integrates the chart display, navigation operations, route calculation and navigation marks, etc. and provides a great convenience for maritime navigation. Path planning in ECDIS system plays a significant role. Based on the principle of intelligent ant colony algorithm, and in view of the ant colony algorithm is slow convergence speed, easy to fall into local optimal solution, the article uses adaptive pseudo random selection rules, dynamically adjusts volatilization factor, updates the optimal route of ants pheromone, so as to improve the convergence speed of path planning and the effect of algorithm to achieve the goal of the optimal route. Simulation results validate the feasibility of the improved ant colony algorithm and its effectiveness.

关键词： ECDIS ant colony optimization algorithm Path planning Optimal route

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Grid Task Scheduling Strategy Based on Particle Swarm optimizationand ant colony optimization algorithm

Grid Task Scheduling Strategy Based on Particle Swarm Optimi...

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2010 International Conference on Advanced Measurement and Test (AMT 2010)

作者： Wei Pengcheng 1,2,a,Shi xi 2,b 1 Computer Science and Engineering College,Chongqing University,Chongqing,China 2 Department of Computer Science,Chongqing Education College Chongqing,China

Based on particle swarm optimization algorithm,this paper presents a grid scheduling optimization algorithm combing the advantages of ant colony optimization *** algorithm processes task scheduling through particle swarm optimization algorithm to get a group of relatively optimal solutions,and then conducts small-area local search with ant colony optimization *** analysis and results of the simulation experiments show that this scheduling algorithm effectively achieves load balancing of resources with comprehensive advantages in time efficiency and solution accuracy compared to the traditional ant colony optimization algorithm and particle swarm optimizationalgorithm,and can be applied to task scheduling in grid computing.

关键词： grid computing task scheduling particle swarm optimization algorithm ant colony optimization algorithm

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Path planning research based on the improved ant colony algorithm in ECDIS

Path planning research based on the improved ant colony algo...

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第35届中国控制会议

作者： Hao Meng Xiaopeng He Jingguo Song Zhilin Liu College of Automation Harbin Engineering University

ISBN: (纸本)9781509009107

ECDIS(Electronic Chart Display and Information System) is a real-time navigation system,which integrates the chart display,navigation operations,route calculation and navigation marks,*** provides a great convenience for maritime *** planning in ECDIS system plays a significant *** on the principle of intelligent ant colony algorithm,and in view of the ant colony algorithm is slow convergence speed,easy to fall into local optimal solution,the article uses adaptive pseudo random selection rules,dynamically adjusts volatilization factor p,updates the optimal route of ants pheromone,so as to improve the convergence speed of path planning and the effect of algorithm to achieve the goal of the optimal *** results validate the feasibility of the improved ant colony algorithm and its effectiveness.

关键词： -ECDIS ant colony optimization algorithm Path planning Optimal route

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ACO-HS:A Hybrid Cloud Resource Scheduling Model

ACO-HS:A Hybrid Cloud Resource Scheduling Model

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2016 3rd International Conference on Engineering Technology and Application（ICETA 2016）

作者： Haoqian Mai Lianglun Cheng College of Computer Science and Technology Guangdong University of Technology

Optimizing the cloud platform and resources scheduling is the important thing on cloud *** optimizing the running time and resource costs,we proposed a model(ACO-HS) mixing the ant colony optimization algorithm and harmony search ***-HS can effectively retain the high accuracy and parallelism of ACO algorithm,and combine with the capabilities of fast global search from HS *** the simulation experiment on the Cloud Sim software,ACO-HS model has been proved that it will perform well in the scheduling time and the resource utilization.

关键词： resource optimizing cloud computing ant colony optimization algorithm harmony search algorithm scheduling

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A Comprehensive Study of Various Load Balancing Techniques used in Cloud Based Biomedical Services

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INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING 2015年第2期8卷 127-131页

作者： Hans, Abhinav Kalra, Sheetal GNDU RC Jalandhar Jalandhar Punjab India

With an increase in the demands, the Cloud computing has become one of the ongoing scalable approaches to fulfill the cloud based services. The biggest advantage of the cloud computing is the ability to overcome the infrastructural challenges those are earlier faced by other technologies. Since the technology is new, therefore the development of the whole structure is not so efficient. It does have a lot of issues on which various scientists and others are working on. Scheduling, load balancing, fault tolerance, etc. are various challenges faced by cloud computing. For this purpose various techniques and algorithms have been proposed. In this paper, we will discuss the issue of load balancing of cloud computing and we will study the different types of load balancing techniques used in in biomedical services and make a comparative analysis among all the existing techniques.

关键词： (OLB + LBMM) Genetic algorithm VectorDot Stochastic Hill Climbing LBVS- H ant colony optimization algorithm Compare and Balance Honey Bee Foraging

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A MIXED optimization METHOD BASED ON ARTIFICIAL INTELLIGENCE AND ITS APPLICATION

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CONTROL AND INTELLIGENT SYSTEMS 2015年第4期43卷 169-174页

作者： Deng, Wu Zhao, Huimin Luo, Yinglian Li, Xiumei Dalian Jiaotong Univ Software Inst Dalian 116028 Peoples R China Guangxi Univ Nationalities Guangxi High Sch Complex Syst & Computat Intellig Key Lab Nanning 530006 Peoples R China Chongqing Univ State Key Lab Mech Transmissions Chongqing 400044 Peoples R China Southwest Jiaotong Univ Tract Power State Key Lab Chengdu 610031 Peoples R China

Fuzzy neural network (FNN) has a strong self-learning and self-tuning function, but there exists the insufficiency in selecting parameters. So ant colony optimization (ACO) algorithm and chaos theory are introduced into the FNN in order to propose an optimized FNN (CACOFNN) model. In the proposed CACOFNN model, a switching function is designed for the connections between neurons to transform the structure and parameters of FNN into a simple function optimization problem. The fuzzy grid partition is used to determine the optimal rules and structure of FNN. Then the chaos theory is introduced into the ACO algorithm to propose a chaotic ACO (CACO) algorithm for optimizing the initial parameters of FNN. Finally, the proposed CACOFNN model is applied to optimize the parameters of PID controller of traction motor. The results show that the CACOFNN model takes on the faster approximation control objectives, more excellent performance and convergence.

关键词： ant colony optimization algorithm fuzzy neural network chaos theory parameter optimization traction motor PID controller

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