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2nd International Conference on Innovations in Mechanical Engineering, ICIME 2019

作者： Sreenivas, P. Saheb, Shaik Khaja Peer Yohan, M. Department of Mechanical Engineering JNTUA College of Engineering Anantapur515002 India KLM College of Engineering for Women’s Kadapa516003 India

ISBN: (纸本)9789811511233

harmony search algorithms (HSA) is one of new meta-heuristic technique use in optimizing the parallel machine scheduling. HSA has gained much popularity in solving identical parallel machine scheduling problems such as minimizing the maximum makespan time. In HSA, a permutation-based improvisation process implemented in solving different optimization issues in the identical parallel machine scheduling. The HSA has proposed due to various characteristic advantages such as it is efficient, simple, easy and accurate. In this paper has been discussed various researcher’s HSA application in identical parallel machine scheduling and summarized their conclusions. © 2020, Springer Nature Singapore Pte Ltd.

关键词： harmony search algorithm Identical parallel machine Meta-heuristic Optimization

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Contingency Management of a Power System Using Rapid Contingency Management Technique and harmony search algorithm 1st

Contingency Management of a Power System Using Rapid Conting...

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1st International Conference on Innovative Product Design and Intelligent Manufacturing System, ICIPDIMS 2019

作者： Sravan Kumar, B. Uma Maheswari, R. Sateesh, B. Venkateswara Rao, B. Nagesh Kumar, G.V. GITAM University Visakhapatnam India Vignan’s Institute of Information Technology Visakhapatnam India V R Siddhartha Engineering College Vijayawada India JNTUA College of Engineering Pulivendula India

ISBN: (纸本)9789811526954

Optimal power flow (OPF) is an ideal method of optimally utilizing power system resources. Its effect further enhances the presence of FACTS devices. Performing OPF in combination with a FACTS device may also be helpful for the improvement of power system stability during outage conditions. In the present work, a combined index-based strategy for the optimal placement of Thyristor-Controlled Series Compensator (TCSC) and optimal tuning of generators using the harmony search algorithm is proposed for improving the system stability. The projected technique is verified and implemented on IEEE 30 bus system. The system is tested at both normal and contingency conditions. The contingency analysis is done using a new method, namely rapid contingency ranking technique (RCRT). The TCSC has been placed on the basis of an index which is a combination of line utilization factor (LUF) and fast voltage stability index (FVSI). A multi-objective function has been chosen for tuning the generators. The multi-dimensional function includes deviation in voltage, cost of power generation, and loss of transmission line. The outcomes of the proposed method are also compared to a method, i.e., genetic algorithm. © 2020, Springer Nature Singapore Pte Ltd.

关键词： harmony search algorithm Optimal reallocation Rapid contingency ranking technique TCSC Voltage stability

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APPLIED SOFT COMPUTING 2019年 80卷 776-796页

作者： Tsakirakis, Eleftherios Marinaki, Magdalene Marinakis, Yannis Matsatsinis, Nikolaos Tech Univ Crete Sch Prod Engn & Management Khania 73100 Greece

The harmony search (HS) is a metaheuristic algorithm, which is inspired from the composition of music harmonies. The functionality and flexibility of HS contribute to the development of successful methodologies for different kind of scientific problems. The aim of this paper is to propose a variant of the classic HS algorithm in order to provide competitive solutions for the Team Orienteering Problem (TOP). We introduce the Similarity Hybrid harmony search (SHHS) algorithm as an alternative and innovative optimization method. The SHHS follows the standard procedure of HS with some modifications and includes a new strategy called "similarity process". Two versions of the proposed method have been developed, the static version with predefined values for the parameters of the method and the dynamic one with dynamic adjustment of the parameters. The SHHS algorithm is applied to the known benchmark instances of TOP. The dynamic of the algorithm is tested through a complete solution analysis which gives the superiority of the dynamic version compared to the static one. The results of both versions of the proposed algorithm indicate the positive performance against other effective and robust optimization algorithms from the literature. (C) 2019 Elsevier B.V. All rights reserved.

关键词： harmony search algorithm Metaheuristic Similarity process Team Orienteering Problem

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Multi-objective harmony search algorithm for Dynamic Optimal Power Flow with Demand Side Management

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2019年第8期47卷 721-731页

作者： Bhamidi, Lokeshgupta Shanmugavelu, Sivasubramani Indian Inst Technol Patna Dept Elect Engn Patna 801106 Bihar India

In modern power systems, efficient methods like demand side management (DSM) are needed for handling the peak load management problem. An intelligent DSM approach not only gives advantages to utilities but also provides indirect benefits to generating companies. This article introduces a combined model of multi-objective dynamic optimal power flow (MODOPF) and a game theory-based DSM technique. In this article, a single utility company and multiple residential energy consumers are considered for the game theory-based DSM technique. Here, the day ahead load shifting DSM technique is implemented with the help of a day-ahead pricing strategy and an energy consumption game. The total generation cost and transmission losses are considered as the main objectives in the proposed MODOPF problem. These two objectives were optimized individually and simultaneously using harmony search (HS) algorithm with different DSM participation levels for the investigation of generation side benefits. The proposed combined model was tested on two different test systems such as IEEE 30 bus and 118 bus. From the simulation results, it is clear that the combined model consisting of MODOPF and DSM is able to achieve a better economic and secure operation when compared to MODOPF alone.

关键词： dynamic optimal power flow demand side management multi-objective optimization harmony search algorithm game theory approach

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An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization

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KNOWLEDGE-BASED SYSTEMS 2019年 170卷 1-19页

作者： Yi, Jin Gao, Liang Li, Xinyu Shoemaker, Christine A. Lu, Chao Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Sch Mech Sci & Technol Wuhan 430074 Hubei Peoples R China Natl Univ Singapore Dept Ind Syst Engn & Management Singapore Singapore China Univ Geosci Wuhan Hubei Key Lab Intelligent Geoinformat Proc Wuhan 430074 Hubei Peoples R China

This paper presents an on-line variable-fidelity surrogate-assisted harmony search algorithm (VFS-HS) for expensive engineering design optimization problems. VFS-HS employs a novel model-management strategy that uses a multi-level screening mechanism based on non-dominated sorting to strictly control the numbers of low-fidelity and high-fidelity evaluations and to keep a balance between exploration and exploitation. The performance of VFS-HS is validated through comparison not only to those of four single-fidelity surrogate-assisted optimization methods (i.e. the particle swarm optimization algorithm with radial basis function-based surrogate (OPHS-RBF), the two-layer surrogate-assisted particle swarm optimization algorithm (TLSAPSO), the surrogate-assisted hierarchical particle swarm optimization (SH-PSO) and the hybrid surrogate-based optimization using space reduction (HSOSR)) but also to that a multi-fidelity surrogate-assisted optimization method (the multi-fidelity Gaussian process and radial basis function-model-assisted memetic differential evolution (MGPMDE)) on the CEC2014 expensive optimization test suite. A real-world problem of the optimal design for a long cylindrical gas-pressure vessel is also investigated. The results show that VFS-HS outperforms all the compared methods. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Variable-fidelity surrogate Radial basis function harmony search algorithm Expensive engineering design optimization Non-dominated sorting

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Compression and Enhancement of Medical Images Using Opposition Based harmony search algorithm

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JOURNAL OF INFORMATION PROCESSING SYSTEMS 2019年第2期15卷 288-304页

作者： Haridoss, Rekha Punniyakodi, Samundiswary Pondicherry Univ Dept Elect Engn Pondicherry India

The growth of telemedicine-based wireless communication for images-magnetic resonance imaging (MRI) and computed tomography (CT)-leads to the necessity of learning the concept of image compression. Over the years, the transform based and spatial based compression techniques have attracted many types of researches and achieve better results at the cost of high computational complexity. In order to overcome this, the optimization techniques are considered with the existing image compression techniques. However, it fails to preserve the original content of the diagnostic information and cause artifacts at high compression ratio. In this paper, the concept of histogram based multilevel thresholding (HMT) using entropy is appended with the optimization algorithm to compress the medical images effectively. However, the method becomes time consuming during the measurement of the randomness from the image pixel group and not suitable for medical applications. Hence, an attempt has been made in this paper to develop an HMT based image compression by utilizing the opposition based improved harmony search algorithm (OIHSA) as an optimization technique along with the entropy. Further, the enhancement of the significant information present in the medical images are improved by the proper selection of entropy and the number of thresholds chosen to reconstruct the compressed image.

关键词： Entropy harmony search algorithm Image Compression Multi-Thresholding Optimization

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Multidirectional harmony search algorithm for solving integer programming and minimax problems

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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2019年第3期13卷 141-158页

作者： Tawhid, Mohamed A. Ali, Ahmed F. Thompson Rivers Univ Fac Sci Dept Math & Stat Kamloops BC V2C 0C8 Canada Suez Canal Univ Fac Comp & Informat Dept Comp Sci Ismailia Egypt

Integer programming and minimax problems are essential tools in solving various problems that arise in data mining and machine learning such as multi-class data classification and feature selection problems. In this paper, we propose a new hybrid harmony search algorithm by combining the harmony search algorithm with the multidirectional search method in order to solve the integer programming and minimax problems. The proposed algorithm is called multidirectional harmony search algorithm (MDHSA). MDHSA starts the search by applying the standard harmony search for numbers of iteration then the best-obtained solution is passing to the multidirectional search method as an intensification process in order to accelerate the search and overcome the slow convergence of the standard harmony search algorithm. The proposed algorithm is balancing between the global exploration of the harmony search algorithm and the deep exploitation of the multidirectional search method. MDHSA algorithm is tested on seven integer programming problems and 15 minimax problems and compared against 12 algorithms for solving integer programming problems and 11 algorithms for solving minimax problems. The experiments results show the efficiency of the proposed algorithm and its ability to solve integer programming and minimax problems in reasonable time.

关键词： evolutionary computation global optimisation harmony search algorithm direct search algorithm multidirectional search integer programming problems minimax problems

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An improved differential harmony search algorithm for function optimization problems

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SOFT COMPUTING 2019年第13期23卷 4827-4852页

作者： Wang, Lin Hu, Huanling Liu, Rui Zhou, Xiaojian Huazhong Univ Sci & Technol Sch Management Wuhan 430074 Hubei Peoples R China

To overcome the drawbacks of the harmony search (HS) algorithm and further enhance its effectiveness and efficiency, an improved differential HS (IDHS) is proposed to solve numerical function optimization problems. The proposed IDHS has a novel improvisation scheme that integrates DE/best/1/bin and DE/rand/1/bin from the differential evolution (DE) algorithm to enhance its local search and exploration capabilities and a new pitch adjustment rule that benefits from the best solution in the harmony memory to increase its convergence speed. With dynamically adjusted parameters, the proposed IDHS can balance exploitation and exploration throughout the search process. The numerical results of an experiment with classic testing functions and those of a comparative experiment show that IDHS outperforms eight algorithms in the HS family and three widely used population-based algorithms in different families, including DE, particle swarm optimization, and improved fruit fly optimization algorithm. IDHS demonstrates fast convergence and an especially good capability to handle difficult high-dimensional optimization problems.

关键词： harmony search algorithm Differential evolution Meta-heuristics Global optimization

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Tasks assigning and sequencing of multiple AGVs based on an improved harmony search algorithm

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JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2019年第11期10卷 4533-4546页

作者： Li, Guomin Li, Xinyu Gao, Liang Zeng, Bing Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Hubei Peoples R China

The efficiency of automatic guided vehicle (AGV) scheduling is important to improve the productivity of manufacturing enterprises. In this paper, the production materials and cutting tools consumables are transferred by multiple AGVs and a multi-objective mathematical model of AGV scheduling is established, which contains three objectives, i.e., the total travel distance of AGVs, the standard deviation of AGVs workload and the standard deviation of the difference between the latest delivery time and the predicted time of tasks. Then, an improved harmony search (HS) algorithm is proposed by adopting dynamic changing harmony memory considering rate (HMCR) parameters and implementing neighborhood search strategy for the best harmony in harmony memory (HM). Meanwhile, the harmony is divided into several segments according to the capacitated multiple-load AGVs. Each segment corresponds to the tasks execution scope of AGVs that return to the warehouse in turn. And the elements sequence of each segment represents the order of these tasks performed by AGV. At the same time, calculating the fitness value in each segment of harmony, and finally adding them up as the total fitness value of the whole harmony. A larger-scale instance from the real-life manufacturing enterprise is used to evaluate the performance of the proposed HS algorithm. The computational results show that the proposed HS algorithm outperforms the current solution.

关键词： Multiple-load AGVs Assigning Sequencing harmony search algorithm Dispatching

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Optimal sizing and distribution system reconfiguration of hybrid FC/WT/PV system using cluster computing based on harmony search algorithm

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第3-Sup期22卷 S6849-S6854页

作者： Brinda, M. Deva Suresh, A. Rashmi, M. R. Anna Univ Chennai Tamil Nadu India SA Engn Coll Dept Elect & Elect Engn Chennai Tamil Nadu India Amrita Univ Dept Elect & Elect Engn Bengaluru India

Reconfigurable hybrid energy systems are vividly becoming very popular. Many algorithms were developed to optimize the best configuration of the distributed system in order to maximize the voltage stability index (VSI), minimize the power loss, minimize the cost of energy generated by distributed generating sources (DGS) and minimize the total emission produced by DGS and the grid. This paper Presented application of harmony search algorithm to for optimal sizing and distribution system reconfiguration of hybrid fuel cell (FC), wind turbine (WT) and photovoltaic (PV) system for maximizing VSI, minimizing the cost, power loss and emission and also proposal a cluster computing based novel method to identify the bus to which the renewable energy sources can be connected for optimal utilization.

关键词： Voltage stability index Hybrid energy system Distributed generating sources harmony search algorithm Fuel cost

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