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24th Chinese Control and Decision Conference (CCDC)

作者： Yu, Hongtao Gao, Liqun Lei, Yanhua Shenyang Inst Engn Dept Automat Engn Shenyang 110136 Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China

ISBN: (纸本)9781457720727

This paper presents a new model for capacitated facility location problem, where serve radius and economic benefit are considered. In the new model, the objective is to maximize the total return investment. However, the objective for multiple knapsack problem is to maximize the total profit. So the capacitated facility location problem can be translated into multiple knapsack problem. Because this problem is difficult to solve, we propose a hybrid harmony search algorithm, which incorporates harmony search algorithm with greedy algorithm. Numerical results from computational experiments are presented and analyzed.

关键词： harmony search algorithm Capacitated Facility location Knapsack problem

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Optimum design of cellular beams using harmony search and particle swarm optimizers

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JOURNAL OF CONSTRUCTIONAL STEEL REsearch 2011年第2期67卷 237-247页

作者： Erdal, Ferhat Dogan, Erkan Saka, Mehmet Polat Middle E Tech Univ Dept Engn Sci TR-06531 Ankara Turkey

Cellular beams became increasingly popular as an efficient structural form since their introduction. Their sophisticated design and profiling process provide greater flexibility in beam proportioning for strength, depth, size and location of circular holes. The main goal of manufacturing these beams is to increase the moment of inertia and section modulus, which results in greater strength and rigidity. Cellular beams are used as primary or secondary floor beams in order to achieve long spans and service integration. In this study, the design problem of cellular beams is formulated as optimum design problem. The minimum weight is taken as the design objective while the design constraints are implemented from The Steel Construction Institute Publication Number 100. The design methods adopted in this publication are consistent with BS5950 parts 1 and 3. The formulation of the design problem considering the limitations of the above mentioned turns out to be a discrete programming problem. harmony search and particle swarm optimization methods are used for obtaining the solution of the design problem. The design algorithms based on these two techniques select the optimum UB section to be used in the production of a cellular beam subjected to a general loading, the optimum hole diameter and the optimum number of holes in the cellular beam. Furthermore, this selection is also carried out such that the design limitations are satisfied and the weight of the cellular beam is the minimum. A number of design examples are considered to demonstrate the efficiency of the algorithm presented. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Cellular beams Design optimization Steel structures Stochastic search techniques harmony search algorithm Particle swarm method

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IMPROVED harmony search METHODS TO REPLACE VARIATIONAL PRINCIPLE IN GEOTECHNICAL PROBLEMS

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JOURNAL OF MECHANICS 2011年第1期27卷 107-119页

作者： Cheng, Y. M. Li, L. Fang, S. S. Hong Kong Polytech Univ Dept Civil & Struct Engn Hong Kong Hong Kong Peoples R China Qingdao Technol Univ Sch Civil Engn Qingdao Peoples R China

Variational principle is an important principle in engineering discipline. This principle is suitable for simple problems where an analytical expression can be determined, but there are many practical problems where the classical variational principle is practically impossible to be applied. In this paper, the authors will try to demonstrate that the variational principle can be replaced by the use of modern artificial intelligence based optimization method (harmony search method) which can be applied to much more complicated problems. Two different improved harmony search algorithms are proposed in this paper. The new algorithms differ from the original algorithm in that: (1) The harmonies are rearranged into several pairs and the better pairs are used to develop several new harmonies;(2) Different probabilities are assigned to different harmonies. The robustness of the proposed methods is demonstrated by using three difficult examples, and the sensitivities of the related optimization parameters are investigated through statistical orthogonal analysis.

关键词： Variational principle Slope stability analysis harmony search algorithm Minimum factor of safety Random number

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harmony search based algorithms for the optimum cost design of reinforced concrete cantilever retaining walls

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INTERNATIONAL JOURNAL OF CIVIL ENGINEERING 2011年第1期9卷 1-8页

作者： Kaveh, A. Abadi, A. Shakouri Mahmud Iran Univ Sci & Technol Sch Civil Engn Tehran 16 Iran Bldg & Housing Res Ctr Tehran 16 Iran

Cost optimization of the reinforced concrete cantilever soil retaining wall of a given height satisfying some structural and geotechnical design constraints is performed utilizing harmony search and improved harmony search algorithms. The objective function considered is the cost of the structure, and design is based on ACI 318-05. This function is minimized subjected to design constraints. A numerical example of the cost optimization of a reinforced concrete cantilever retaining wall is presented to illustrate the performance of the presented algorithms and the necessary sensitivity analysis is performed.

关键词： Structural optimization Reinforced concrete Cantilever retaining walls harmony search algorithm Modified harmony search

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Combined heat and power economic dispatch by harmony search algorithm

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2007年第10期29卷 713-719页

作者： Vasebi, A. Fesanghary, M. Bathaee, S. M. T. KN Toosi Univ Technol Dept Elect & Elect Engn Power Syst Res Lab Tehran 19697 Iran Amir Kabir Univ Technol Dept Mech Engn Tehran Iran

The optimal utilization of multiple combined heat and power (CHP) systems is a complicated problem that needs powerful methods to solve. This paper presents a harmony search (HS) algorithm to solve the combined heat and power economic dispatch (CHPED) problem. The HS algorithm is a recently developed meta-heuristic algorithm, and has been very successful in a wide variety of optimization problems. The method is illustrated using a test case taken from the literature as well as a new one proposed by authors. Numerical results reveal that the proposed algorithm can find better solutions when compared to conventional methods and is an efficient search algorithm for CHPED problem. (c) 2007 Elsevier Ltd. All rights reserved.

关键词： economic dispatch combined heat and power harmony search algorithm optimization

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The Location of Critical Reliability Slip Surface in Soil Slope Stability Analysis

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Procedia Earth and Planetary Science 2012年 5卷 146-149页

作者： Li Liang Chu Xue-song School of Civil Engineering Qingdao Technological University Qingdao 266033China

This study aims to find the difference between the slip surface having minimum factor of safety(called critical slip surface in deterministic analysis of slopes) and the slip surface having minimum reliability index(called critical reliability slip surface). The performance function used in reliability analysis was formulated by unbalanced thrust force method and the value of reliability index regarding given potential slip surface was obtained by Rosenbleuth method. The harmony search algorithm was adopted to alter the potential slip surface in order to locate the critical reliability slip surface. One complicated soil slope was analyzed and the results have shown that the critical slip surface is considerably different from critical reliability slip surface for multi-layer slopes and the reliability index of critical slip surface is larger than that of critical reliability slip surface.

关键词： Slope stability analysis limit equilibrium method Reliability index Rosenbleuth method harmony search algorithm

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An improved harmony search algorithm for solving optimization problems

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APPLIED MATHEMATICS AND COMPUTATION 2007年第2期188卷 1567-1579页

作者： Mahdavi, M. Fesanghary, M. Damangir, E. Amirkabir Univ Technol Dept Mech Engn Tehran 158754413 Iran Sharif Univ Technol Dept Comp Engn Tehran Iran

This paper develops an improved harmony search (IHS) algorithm for solving optimization problems. IHS employs a novel method for generating new solution vectors that enhances accuracy and convergence rate of harmony search (HS) algorithm. In this paper the impacts of constant parameters on harmony search algorithm are discussed and a strategy for tuning these parameters is presented. The IHS algorithm has been successfully applied to various benchmarking and standard engineering optimization problems. Numerical results reveal that the proposed algorithm can find better solutions when compared to HS and other heuristic or deterministic methods and is a powerful search algorithm for various engineering optimization problems. (c) 2006 Elsevier Inc. All rights reserved.

关键词： global optimization heuristics harmony search algorithm mathematical programming

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Load Balancing of Grid Connected Data Centers Using Various Optimization Techniques 4th

Load Balancing of Grid Connected Data Centers Using Various ...

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International Conference on Computational Intelligence and Communication Networks

作者： P. PRANITHA A. RATHINAM Department of EEE SRM University

ISBN: (纸本)9781467329811

The recent technological advancements have led to an increase in demand of the internet services and hence the power used by the Internet Data Centers has been on an all-time high. Due to this enormous energy consumption of the data centers there is a significant increase in the load at locations where they are built imposing a major impact on the electric grid. In this paper a survey is conducted on grid-aware design optimization problem for cloud computing systems. Thereby, the load in the grid is balanced reasonably by carefully distributing the service requests among the data centers. By doing so the reliability and the robustness of the grid with respect to link breakage and load demand variations is also improve. The optimization problem is studied using Linear Programming Optimization Technique, Minmax Optimization Technique, Genetic algorithm and harmony search algorithm.

关键词： Cloud Computing Data Center Electric Grid Linear Programming Minmax Optimization Genetic algorithm harmony search algorithm

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Model and Solution for Capacitated Facility Location Problem

Model and Solution for Capacitated Facility Location Problem

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The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Hongtao Yu Liqun Gao Yanhua Lei Automation Engineering Shenyang Institute of Engineering Shenyang 110136 China College of Informa College of Information Science and Engineering Northeastern University Shenyang 110819 China Automation Engineering Shenyang Institute of Engineering Shenyang 110136 China

关键词： harmony search algorithm Capacitated Facility location Knapsack problem

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Constraint multiproduct joint-replenishment inventory control problem using uncertain programming

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APPLIED SOFT COMPUTING 2011年第8期11卷 5143-5154页

作者： Taleizadeh, Ata Allah Niaki, Seyed Taghi Akhavan Nikousokhan, Ramin Sharif Univ Technol Dept Ind Engn Tehran Iran Iran Univ Sci & Technol Dept Ind Engn Tehran Iran Univ Tehran Dept Ind Engn Tehran 14174 Iran

An uncertain economic order quantity (UEOQ) model with payment in advance is developed to purchase high-price raw materials. A joint policy of replenishments and pre-payments is employed to supply the materials. The rate of demand is considered LR-fuzzy variables, lead-time is taken to be constant, and it is assumed that shortage does not occur in the cycles. The cycle is divided into three parts;the first part is the time between the previous replenishment-time to the next order-time (t(0)), the second part is the period between t(0) to a payment-time (t(k)), and the third part is the period between t(k) to the next replenishment-time. At the start of the second part (t(0)), alpha% of the purchasing cost is paid. The (1 - alpha)% remaining purchasing cost is paid at the start of the third part (t(k)). The cost of the model is purchasing under incremental discount for each order with rough cost per unit, clearance cost, fixed-order cost, transportation cost, holding, and capital cost. Holding cost is for on-hand inventory and capital cost is for the capital that is paid for the next order. The constraints of the problem are space, budget, and the number of orders per year. Further, lead-time is considered less than a cycle time. We show that the model of this problem is a fuzzy integer-nonlinear-programming type and in order to solve it, a hybrid method of harmony search, fuzzy simulation, and rough simulation is proposed. In order to validate the results and examine the performance of the proposed method, a genetic algorithm, as well as a particle swarm optimization method is also employed. The results of a numerical example show that the proposed procedure has the best performance in terms of the mean of the objective function in different simulation runs. At the end, a case study along with a sensitivity analysis is given to demonstrate the applicability of the proposed methodology in real world inventory control problems and to provide some managerial insights.

关键词： Inventory control Multi-product multi-constraint Joint replenishment Raw materials Soft computing techniques harmony search algorithm Uncertain programming

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