This paper presents a discussion of "A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem" Fesanghary et al. "Energy" 34 (2009) 757-766. The discus...
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This paper presents a discussion of "A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem" Fesanghary et al. "Energy" 34 (2009) 757-766. The discussed paper presented economic dispatch problem by experimenting with six case studies considering 38, 13, 15, 6, and 10-unit test systems along with multi area economic dispatch (MAED) problem. However, in the reported results of case study 3 and 6, the total fuel cost calculations are different for the given generation schedule. In this discussion, clarification regarding cost calculation is presented. (C) 2012 Elsevier Ltd. All rights reserved.
Topology control protocols try to decrease average of node's transition radius without decreasing network connectivity. In this paper, we propose a topology control protocol and maintain the connectivity of the se...
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ISBN:
(纸本)9781467302395
Topology control protocols try to decrease average of node's transition radius without decreasing network connectivity. In this paper, we propose a topology control protocol and maintain the connectivity of the sensor network by adjusting the transition radius of the sensor nodes. In this protocol, proper transition radius of the sensor nodes can be determined using the harmony search algorithm. Due to the proposed protocol accuracy in selecting the transition radius of sensor nodes, it is able to provide the full connectivity in sparse deployment. Moreover, as the result of increasing nodes density, the proposed protocol decreases the energy consumption of the sensor network and prolongs the network lifetime. We have simulated our protocol and simulation results show high efficiency of the proposed protocol.
Detecting community structure is crucial for uncovering the links between structures and functions in complex networks. Most of contemporary community detection algorithms employ single optimization criteria (e.g., mo...
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ISBN:
(纸本)9781450311786
Detecting community structure is crucial for uncovering the links between structures and functions in complex networks. Most of contemporary community detection algorithms employ single optimization criteria (e.g., modularity), which may have fundamental disadvantages. This paper considers the community detection process as a Multi-Objective optimization Problem (MOP). To solve the community detection problem this study used modified harmony search algorithm (HAS), the original HAS often converges to local optima which is a disadvantage with this method. To avoid this shortcoming the HAS was combined with a Chaotic Local search (CLS). In the proposed algorithm an external repository considered to save non-dominated solutions found during the search process and a fuzzy clustering technique was used to control the size of the repository. The experiments in synthetic and real networks show that the proposed multi-objective community detection algorithm is able to discover more accurate community structures.
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, t...
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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.
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, dep...
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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. harmonysearch 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.
Cost optimization of the reinforced concrete cantilever soil retaining wall of a given height satisfying some structural and geotechnical design constraints is performed utilizing harmonysearch and improved harmony s...
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Cost optimization of the reinforced concrete cantilever soil retaining wall of a given height satisfying some structural and geotechnical design constraints is performed utilizing harmonysearch 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.
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 t...
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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 (harmonysearch 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.
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 harmonysearch (HS) algorithm to solve the combined heat a...
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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 harmonysearch (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 searchalgorithm for CHPED problem. (c) 2007 Elsevier Ltd. All rights reserved.
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(c...
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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.
This paper develops an improved harmonysearch (IHS) algorithm for solving optimization problems. IHS employs a novel method for generating new solution vectors that enhances accuracy and convergence rate of harmony s...
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This paper develops an improved harmonysearch (IHS) algorithm for solving optimization problems. IHS employs a novel method for generating new solution vectors that enhances accuracy and convergence rate of harmonysearch (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 searchalgorithm for various engineering optimization problems. (c) 2006 Elsevier Inc. All rights reserved.
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