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Research on the application of search algorithm in computer communication network

JOURNAL OF INTELLIGENT SYSTEMS 2022年第1期31卷 1150-1159页

作者： Ai, Hua Chai, Jianwei Zhang, Jilei Khanna, Shaweta Ghafoor, Kayhan Zrar Langfang Yanjing Vocat & Tech Coll Dept Comp Engn Langfang 065000 Hebei Peoples R China ITS Engn Coll Greater Noida UP India Knowledge Univ Dept Comp Sci Erbil 44001 Iraq

This article mitigates the challenges of previously reported literature by reducing the operating cost and improving the performance of network. A genetic algorithm-based tabu search methodology is proposed to solve the link capacity and traffic allocation (CFA) problem in a computer communication network. An efficient modern super-heuristic search method is used to influence the fixed cost, delay cost, and variable cost of a link on the total operating cost in the computer communication network are discussed. The article analyses a large number of computer simulation results to verify the effectiveness of the tabu search algorithm for CFA problems and also improves the quality of solutions significantly compared with traditional Lagrange relaxation and subgradient optimization algorithms. The experimental results show that with the increase of the weighted coefficient of variable cost, the proportion of variable cost in the total cost increases from 10 to 35%. The growth is relatively slow, and the fixed cost is still the main component. In addition, due to the increase in the variable cost, the tabu search algorithm will also choose the link with large luxury to reduce the variable cost, which makes the fixed cost slightly increase, while the network delay cost and average delay slightly decrease. The proposed method, when compared with the genetic algorithm, has more advantages for large-scale or heavy-load networks.

关键词： search algorithm harmony search algorithm communication network network optimization

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Improved harmony search algorithm with Crossover Operation

Improved Harmony Search Algorithm with Crossover Operation

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2nd International Conference on Automatic Control and Mechatronic Engineering (ICACME2013)

作者： Xia, Honggang Wang, Qingliang Shenyang Univ Informat Engn Coll Shenyang 110004 Peoples R China Northeastern Univ Informat & Sci Coll Shenyang 110004 Peoples R China Liaoyang Construct Vocat Coll Liaoyang 111003 Peoples R China

ISBN: (纸本)9783037858653

harmony search (HS) algorithm is a good meta-heuristic intelligent optimization method and it does depend on imitating the music improvisation process to generate a perfect state of harmony. However, intelligent optimization methods is easily trapped into local optimal, HS is no exception. In order to improve the performance of HS, a new variant of harmony search algorithm is proposed in this paper. The variant introduce a new crossover operation into HS, and design a strategy to adjust parameter pitch adjusting rate (PAR) and bandwidth (BW). Several standard benchmarks carried out to be tested. The numerical results demonstrated that the superiority of the proposed method to the HS and recently developed variants (IHS, and GHS).

关键词： harmony search algorithm position updating particle swarm optimization algorithm adjust

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Sparse-FCM and deep learning for effective classification of land area in multi-spectral satellite images

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EVOLUTIONARY INTELLIGENCE 2022年第2期15卷 1185-1201页

作者： Gavade, Anil B. Rajpurohit, Vijay S. KLSs Gogte Inst Technol Belagavi 590008 Karnataka India

Remote sensing plays a major role in crop classification, land use classification, and land cover classification such that the information for the classification is assured with the help of the satellite images. This paper concentrates on the land use classification and proposes an optimization algorithm, called Firefly harmony search (FHS) for training the Deep Belief Neural Network (DBN). The FHS algorithm is the integration of the Firefly algorithm and harmony search algorithm (HSA), which tunes the weights of DBN to perform the multi-class classification. For the effective classification, the multispectral image is subjected to the sparse Fuzzy C-Means to form segments such that the feature extraction is effective, free from dimensionality issues and computational complexities. The features extracted from the segments of the multi-spectral images include vegetation indices and statistical features. Then, these features are fed to the DBN, which is tuned using the FHS algorithm for performing the land use classification. Experimentation using four datasets proves the effectiveness of the proposed multi-class classification approach. The accuracy, sensitivity, and specificity of the method are found to be 0.9317, 0.9568, and 0.0379, respectively, that is effective over the existing land use classification methods.

关键词： Multi-classification Land use classification Multi-spectral satellite images DBN harmony search algorithm

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Robust counterpart mathematical models for balancing, sequencing, and assignment of robotic U-shaped assembly lines with considering failures and setup times

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OPsearch 2023年第1期60卷 87-124页

作者： Samouei, Parvaneh Sobhishoja, Mahsa Bu Ali Sina Univ Fac Engn Dept Ind Engn Hamadan Hamadan Iran

In recent years, robots have been widely used in assembly systems called robotic assembly lines, where a set of tasks have to be assigned to stations, and each station needs to select one of the different robots to process the assigned tasks. Our focus is on U-shaped layouts because they are widely employed in many industries due to their efficiency and flexibility compared to straight assembly lines. These lines offer more choices to group operations. A worker can be assigned to multiple stations at the entrance and the exit sides. Moreover, it has been shown experimentally that labor productivity can increase significantly in U-shaped lines. However, in many realistic situations, robots may be unavailable during the scheduling horizon for different reasons, such as breakdowns. This research deals with line balancing under uncertainty. It presents robust optimization models for balancing, sequencing, and robot assignment of U-shaped assembly lines with considering sequencing-dependent setup times, failure robots, and preventive maintenance. The nature of this problem is NP-hard with two objective functions;a multi-objective harmony search is suggested to solve it. The parameters of the proposed algorithm were analyzed using the Taguchi method, and their results were compared with the non-dominated sorting genetic algorithm-II (NSGA-II).

关键词： Metaheuristics Robotic U-shaped mixed-model assembly line harmony search algorithm NSGA-II Preventive maintenance Robust optimization Sequence-dependent setup time

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A New Variant harmony search algorithm for Unconstrained Numerical Optimization Problems

A New Variant Harmony Search Algorithm for Unconstrained Num...

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2nd International Conference on Machine Design and Manufacturing Engineering (ICMDME)

作者： Xia, Honggang Wang, Qingzhou Shenyang Univ Informat Engn Coll Shenyang 110004 Peoples R China Northeastern Univ Informat & Sci Coll Shenyang 110004 Peoples R China Informat Technol Dept Liaoyang Petrifact Liaoyang 111003 Peoples R China

ISBN: (纸本)9783037857816

harmony search (HS) algorithm is a good meta-heuristic intelligent optimization method and it does depend on imitating the music improvisation process to generate a perfect state of harmony. However, intelligent optimization methods is easily trapped into local optimal, HS is no exception. In order to modify the optimization performance of HS, a new variant of harmony search algorithm is proposed in this paper. The variant integrate the position updating of the particle swarm optimization algorithm with pitch adjustment operation, and dynamically adjust the key parameter pitch adjusting rate (PAR) and bandwidth (BW). Several standard benchmarks are to be tested. The numerical results demonstrated the superiority of the proposed method to the HS and recently developed variants (HIS, and GHS).

关键词： harmony search algorithm position updating particle swarm optimization algorithm adjust

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Solving Time-Varying Knapsack Problem Based on Binary harmony search algorithm

Solving Time-Varying Knapsack Problem Based on Binary Harmon...

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4th International Conference on Graphic and Image Processing (ICGIP)

作者： Li Ning Liu Jianqin Shijiazhuang Univ Econ Sch Informat Engn Shijiazhuang 050031 Peoples R China Shijiazhuang Informat Engn Vocat Coll Shijiazhuang 050035 Peoples R China

ISBN: (纸本)9780819495662

In order to using harmony search algorithm (HSA) to solve dynamic optimization problems, this paper proposed a binary harmony search algorithm (BHSA) based on hybrid double-coding method. In this paper we use the BHSA, DS_BPSO and PDGA to solve time-varying knapsack problem. The results show that dynamic search capability and ability of tracing optimal solution of BHAS are nearly as same as DS_BPSO, but the robustness and the universality are more superior.

关键词： Evolutionary algorithm harmony search algorithm hybrid double-coding method dynamic optimization time-varying knapsack problem

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Comparative Analysis of Optimally Tuned PI Controller Based SAPF for Harmonic Elimination

Comparative Analysis of Optimally Tuned PI Controller Based ...

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IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)

作者： Vishwakarma, Anish Pratap Affijulla, Shaik Singh, Ksh Milan Natl Inst Technol Meghalaya Dept Elect Engn Shillong 793003 Meghalaya India

ISBN: (纸本)9798350332117

Synchronous reference frame theory (SRFT) based on optimized Proportional Integrator (PI) controller in shunt active power filter (SAPF) is proposed to mitigate current harmonics in the presence of non-liner load system. Normally, non-linear loads such as furnaces, adjustable drives (ASDs), modern power electronics devices are responsible for producing undesirable harmonics in electrical parameters during their operation. To mitigate such unwanted harmonics in non-linear load system, (PI) controllers are effectively employed in different types of advanced techniques to diminish the presence of harmonic mechanisms in the system. In the proposed work, the two optimization algorithms such as genetic algorithm (GA) and harmony search (HS) have been effectively used for tuning (PI) controller based (SAPF). Among these metaheuristic techniques, (HS) algorithm shows the best potential in the reduction of total current harmonic distortion.

关键词： Total Harmonic Distortion (THD) Power Quality harmony search algorithm Genetic algorithm

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harmony search optimization for optimum sizing of hybrid solar schemes based on battery storage unit

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ENERGY REPORTS 2020年 6卷 102-111页

作者： Maleki, Akbar Nazari, Mohammad Alhuyi Pourfayaz, Fathollah Shahrood Univ Technol Fac Mech Engn Shahrood Iran Univ Tehran Fac New Sci & Technol Dept Renewable Energies Tehran Iran

Hybrid systems composed of solar photovoltaic (PV) and battery storage units are reliable and clean technologies for utilization in off-grid cases. Optimal sizing of these systems results in more cost-effective units, which is the main subject of various researches. The current work focuses on the assessment of an optimization approach for finding the optimum size of PV/battery hybrid unit in order to provide the required electricity of the case study and reach the minimum Total Life Cycle Cost (TLCC). In this regard, the components of the designed systems are modelled;afterwards, the objective function is established on the basis of TLCC. In the optimization procedure, a constraint is considered for the highest possible loss of power in order to have a system with acceptable reliability. In addition, Improved harmony search (IHS) algorithm is applied to determine the variables with optimal quantities for satisfying the required electricity in the most cost-effective condition. The calculated results are compared with harmony search and simulated annealing algorithms to evaluate the reliability of the applied method. The outcomes show that employing IHS leads to more promising results and it has higher robustness compared with the HS and simulated annealing algorithms. Moreover, the number of units in the hybrid system reduces by increment in the loss of power supply probability. (C) 2020 The Authors. Published by Elsevier Ltd.

关键词： Hybrid PV/storage system Optimal sizing Total life cycle cost harmony search algorithm Reliability

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Optimal Estimation for Fault Section in Power System Based on harmony search algorithm

Optimal Estimation for Fault Section in Power System Based o...

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第25届中国控制与决策会议

作者： Ping Ren Liqun Gao Nan Li School of Information Engineering Shenyang University School of Information Science and Engineering Northeastern University Shenyang University

ISBN: (纸本)9781467355339

In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. harmony search （HS） algorithm is one of the new heuristic algorithms. The HS optimization algorithm is introduced for the first time in solving the fault section estimation performance in power systems. A case on optimal estimation for fault section in the part of the 230KV Southern Brazilian electric power system is presented to show the methodology’s feasibility and efficiency, compared with the existing fault section estimation in power system methods, the search time of the HS optimization algorithm is shorter and the result is close to the ideal solution, simultaneously.

关键词： Optimal estimation Fault section Power system harmony search algorithm

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An effective hybrid harmony search and cuckoo optimization algorithm based fuzzy PID controller for load frequency control

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APPLIED SOFT COMPUTING 2018年 65卷 121-138页

作者： Gheisarnejad, Meysam Islamic Azad Univ Najafabad Branch Dept Elect Engn Esfahan Iran

In this paper, a hybrid algorithm is developed by incorporating the egg-laying and immigration mechanisms of cuckoo optimization algorithm (COA) into harmony search (HS) algorithm (HSCOA), to design a secondary controller for two practical models of load frequency control (LFC) problem. Initially, a two-area non-reheat thermal power system is considered and the gains of PID and fuzzy PI/PID controllers are adjusted by the proposed tuning method. The superiority of HSCOA in regulating controller gains is demonstrated by evaluation and comparison of the obtained transient outcomes over some other published approaches in literature. To prove the satisfaction of the robustness in designed LFC by means of the proposed method, the performance of HSCOA based fuzzy PID controller is extensively verified under varying loading condition and some critical parameters related to the considered power plant. To add further practical challenge, the governor dead band (GDB) is included in the concerned system modeling to study the advantages of the HSCOA tuned fuzzy PID controller in handling the properties of nonlinearity in the system model. Time domain simulation of transient responses indicates that the designed controller operates satisfactorily to deal with the GDB nonlinearity and outperform other published techniques. Furthermore, to demonstrate the effective feasibility of the proposed method, the study is extended to a two-area multi-source power system with/without consideration of HVDC link. It is observed that HSCOA optimized fuzzy PID controller gives superior quality outcomes in comparison to other reported strategies. Finally, the robustness of the controllers gains designed for the concerned power system is investigated under various scenarios of change in size, location and pattern of step load perturbation. (c) 2018 Elsevier B.V. All rights reserved.

关键词： harmony search algorithm Cuckoo optimization algorithm Fuzzy logic controller Load frequency control Governor dead band

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