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harmony search-based hybrid stable adaptive fuzzy tracking controllers for vision-based mobile robot navigation

MACHINE VISION AND APPLICATIONS 2014年第2期25卷 405-419页

作者： Das Sharma, Kaushik Chatterjee, Amitava Rakshit, Anjan Univ Calcutta Dept Appl Phys Kolkata 700009 W Bengal India Jadavpur Univ Dept Elect Engn Kolkata 700032 India

In this paper the harmony search (HS) algorithm and Lyapunov theory are hybridized together to design a stable adaptive fuzzy tracking control strategy for vision-based navigation of autonomous mobile robots. The proposed variant of HS algorithm, with complete dynamic harmony memory (named here as DyHS algorithm), is utilized to design two self-adaptive fuzzy controllers, for -direction and -direction movements of a mobile robot. These fuzzy controllers are optimized, both in their structures and free parameters, such that they can guarantee desired stability and simultaneously they can provide satisfactory tracking performance for the vision-based navigation of mobile robots. In addition, the concurrent and preferential combinations of global-search capability, utilizing DyHS algorithm, and Lyapunov theory-based local search method, are employed simultaneously to provide a high degree of automation in the controller design process. The proposed schemes have been implemented in both simulation and real-life experiments. The results demonstrate the usefulness of the proposed design strategy and shows overall comparable performances, when compared with two other competing stochastic optimization algorithms, namely, genetic algorithm and particle swarm optimization.

关键词： harmony search algorithm Autonomous mobile robot Tracking control Vision-based navigation Adaptive fuzzy controller Hybrid optimization approaches

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Effect Evaluation and Compensation Scheme Design of Demand Response Based on Baseline Parameter Identification 5

Effect Evaluation and Compensation Scheme Design of Demand R...

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5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

作者： Zhang, Liangjie Gao, Ciwei Liu, Huan Xu, Gaojie Li, Dezhi Southeast Univ Jiangsu Prov Key Lab Smart Grid Technol & Equipme Nanjing Jiangsu Peoples R China Southeast Univ Chengxian Coll Nanjing Jiangsu Peoples R China China Elect Power Res Inst Beijing Peoples R China

ISBN: (纸本)9781467371063

Calculation of baseline load is a prerequisite for the evaluation of the effect of demand response. This paper summarizes the commonly used method for calculating the baseline of the demand response, and put forward a new method using the harmony search algorithm to identify the baseline parameters. It combines the similar date algorithm and intelligent algorithm, which guarantees the accuracy and speed of calculation. This paper proposes the time compensation and step compensation scheme, encouraging users to implement demand response projects and improving operation economy of power network.

关键词： dentand response baseline parameter identification harmony search algorithm

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A Hybrid Meta-Heuristic algorithm for Vehicle Routing Problem with Time Windows

A Hybrid Meta-Heuristic Algorithm for Vehicle Routing Proble...

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9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Yassen, Esam Taha Ayob, Masri Nazri, Mohd Zakree Ahmad Sabar, Nasser R. Univ Kebangsaan Malaysia Ctr Artificial Intelligent CAIT Data Min & Optimisat Res Grp DMO Ukm Bangi 43600 Selangor Malaysia Univ Nottingham Malaysia Semenyih 43500 Selangor Malaysia Univ Anbar Comp Coll Al Anbar Iraq

harmony search algorithm, which simulates the musical improvisation process in seeking agreeable harmony, is a population based meta-heuristics algorithm for solving optimization problems. Although it has been successfully applied on various optimization problems;it suffers the slow convergence problem, which greatly hinders its applicability for getting good quality solution. Therefore, in this work, we propose a hybrid metaheuristic algorithm that hybridizes a harmony search with simulated annealing for the purpose of improving the performance of harmony search algorithm. harmony search algorithm is used to explore the search spaces. Whilst, simulated annealing algorithm is used inside the harmony search algorithm to exploit the search space and further improve the solutions that are generated by harmony search algorithm. The performance of the proposed algorithm is tested using the Solomon's Vehicle Routing Problem with Time Windows (VRPTW) benchmark. Numerical results demonstrate that the hybrid approach is better than the harmony search without simulated annealing and the hybrid also proves itself to be more competent (if not better on some instances) when compared to other approaches in the literature.

关键词： Vehicle routing problem meta-heuristics hybrid algorithm simulated annealing harmony search algorithm

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Block-matching algorithm based on harmony search optimization for motion estimation

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APPLIED INTELLIGENCE 2013年第1期39卷 165-183页

作者： Cuevas, Erik Univ Guadalajara Dept Elect CUCEI Guadalajara 44430 Jalisco Mexico

Motion estimation is one of the major problems in developing video coding applications. Among all motion estimation approaches, Block-matching (BM) algorithms are the most popular methods due to their effectiveness and simplicity for both software and hardware implementations. A BM approach assumes that the movement of pixels within a defined region of the current frame can be modeled as a translation of pixels contained in the previous frame. In this procedure, the motion vector is obtained by minimizing a certain matching metric that is produced for the current frame over a determined search window from the previous frame. Unfortunately, the evaluation of such matching measurement is computationally expensive and represents the most consuming operation in the BM process. Therefore, BM motion estimation can be viewed as an optimization problem whose goal is to find the best-matching block within a search space. The simplest available BM method is the Full search algorithm (FSA) which finds the most accurate motion vector through an exhaustive computation of all the elements of the search space. Recently, several fast BM algorithms have been proposed to reduce the search positions by calculating only a fixed subset of motion vectors despite lowering its accuracy. On the other hand, the harmony search (HS) algorithm is a population-based optimization method that is inspired by the music improvisation process in which a musician searches for harmony and continues to polish the pitches to obtain a better harmony. In this paper, a new BM algorithm that combines HS with a fitness approximation model is proposed. The approach uses motion vectors belonging to the search window as potential solutions. A fitness function evaluates the matching quality of each motion vector candidate. In order to save computational time, the approach incorporates a fitness calculation strategy to decide which motion vectors can be only estimated or actually evaluated. Guided by the values of

关键词： harmony search algorithm Block matching algorithms Motion estimation Fitness approximation Video coding

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Synthesis of concentric ring antenna array for a wide isoflux pattern

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INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 2015年第4期28卷 433-441页

作者： Reyna Maldonado, Alberto Panduro, Marco A. Sistemas Ind Automatizados Reynosa 88710 Mexico Univ Autonoma Tamaulipas UAMR R Reynosa Mexico

This research presents the synthesis of the concentric ring antenna arrays for a wide coverage pattern. The synthesis process is formulated as an optimization of the antenna excitations. harmony search algorithm and particle swarm optimization are implemented for this optimization problem. The antenna array considers disk patches at the L-band. First, the synthesis regards the behavior of the antenna array modeled by the cavity model. Second, the mutual coupling is included by using the full wave simulation. This synthesis could be very useful in satellites with terrestrial global coverage. The obtained antenna array provides a wide uniform power density and reduces considerably the hardware complexity for a satellite antenna system. Copyright (c) 2014 John Wiley & Sons, Ltd.

关键词： isoflux pattern concentric ring antenna array LEO satellite harmony search algorithm particle swarm algorithm

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Considering Energy-Harvesting Sensors to Enhancing the Lifetime of Dynamic Wireless Sensor Networks

TANET2016 台湾网际网路研讨会

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TANET2016 台湾网际网路研讨会 2016年 788-793-141页

作者：林春成鄧德雋王尚斌蔡宜妡高宏德

This work investigates the problem of extending the lifetime of dynamic heterogeneous WSNs with energy-harvesting (EH) sensors to enhancing the total WSN lifetime. This problem is modeled as finding the maximal number of covers each of which can cover all targets to be monitored. Since the concerned problem is also NP-complete, this work proposes a novel harmony search algorithm. By simulation, the proposed algorithm is shown to be promising.

关键词： Wireless sensor network energy-harvesting sensor harmony search algorithm

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Optimum design of steel sway frames to BS5950 using harmony search algorithm

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JOURNAL OF CONSTRUCTIONAL STEEL REsearch 2009年第1期65卷 36-43页

作者： Saka, M. P. Middle E Tech Univ Dept Engn Sci TR-06531 Ankara Turkey

harmony search method based optimum design algorithm is presented for the steel sway frames. The harmony search method is a numerical optimization technique developed recently that imitates the musical performance process which takes place when a musician searches for a better state of harmony. Jazz improvisation seeks to find musically pleasing harmony similar to the optimum design process which seeks to find the optimum solution. The optimum design algorithm developed imposes the behavioral and performance constraints in accordance with BS5950. The member grouping is allowed so that the same section can be adopted for each group. The combined strength constraints considered for a beam-column take into account the lateral torsional buckling of the member. The algorithm presented selects the appropriate sections for beams and columns of the steel frame from the list of 64 Universal Beam sections and 32 Universal Column sections of the British Code. This selection is carried out so that the design limitations are satisfied and the weight of steel frame is the minimum. The number of design examples considered to demonstrate the efficiency of the algorithm is presented. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： Optimum structural design Combinatorial optimization Stochastic search technique harmony search algorithm Minimum weight Steel frame

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Optimization of multi-pass face-milling via harmony search algorithm

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JOURNAL OF MATERIALS PROCESSING TECHNOLOGY 2009年第5期209卷 2386-2392页

作者： Zarei, O. Fesanghary, M. Farshi, B. Saffar, R. Jalili Razfar, M. R. IUST Dept Mech Engn Tehran *** Iran Amir Kabir Univ Technol Dept Mech Engn Tehran 158754413 Iran

This study presents a harmony search (HS) algorithm to determine the optimum cutting parameters for multi-pass face-milling. The optimum value of machining parameters including number of passes, depth of cut in each pass, speed and feed is obtained to minimize total production cost while considering technological constraints such as allowable speed, feed, surface finish, tool life and machine tool capabilities. An illustrative example is used to demonstrate the ability of the HS algorithm and for validation purpose, the genetic algorithm (GA) is used to solve the same problem. Comparison of the results reveals that the HS algorithm converges to optimum solution with higher accuracy in comparison with GA. (c) 2008 Elsevier B.V All rights reserved.

关键词： Face-milling Optimization harmony search algorithm Genetic algorithm

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Design optimization of shell and tube heat exchangers using global sensitivity analysis and harmony search algorithm

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APPLIED THERMAL ENGINEERING 2009年第5-6期29卷 1026-1031页

作者： Fesanghary, M. Damangir, E. Soleimani, I. Amir Kabir Univ Technol Dept Mech Engn Tehran 158754413 Iran Amir Kabir Univ Technol Dept Chem Engn Tehran 158754413 Iran

This study explores the use of global sensitivity analysis (GSA) and harmony search algorithm (HSA) for design optimization of shell and tube heat exchangers (STHXs) from the economic viewpoint. To reduce the size of the optimization problem, non-influential geometrical parameters which have the least effect on total cost of STHXs are identified using GSA. The HSA which is a meta-heuristic based algorithm is then applied to optimize the influential geometrical parameters. To demonstrate the effectiveness and accuracy of the proposed algorithm, an illustrative example is studied. Comparing the HSA results with those obtained using genetic algorithm (GA) reveals that the HSA can converge to optimum solution with higher accuracy. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： Shell and tube heat exchanger harmony search algorithm Global sensitivity analysis Optimization

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Comparative Analog Circuit Design Automation Based on Multi-Objective Evolutionary algorithms: an Application on CMOS Opamp

Comparative Analog Circuit Design Automation Based on Multi-...

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International Conference on Telecommunications and Signal Processing

作者： Ismail Canturk Nihan Kahraman Yildiz Technical University

ISBN: (纸本)9781479984992

Automation of analog integrated circuit (IC) design process is very important because of the optimization contradictions. In this study, benefits of multi-objective evolutionary algorithms are presented on two stage operational amplifier design using harmony search algorithm (HSA) and Non-dominated Sorting Genetic algorithm (NSGA-II). HSA is a new kind of multi-objective evolutionary algorithm which was inspired from the musicians those are looking for the best combination of musical sounds of different instruments that produces most pleasing sound. NSGA-II is an advanced version of genetic algorithm. It combines both current parents and their child population to select new parents. These kinds of design automation tools are required for analog circuit design because there are several contradictions in the design. In this work, transistor sizes which effects all constraints indirectly were automatically synthesized by HSA an NSGA-II.

关键词： Analog circuit automation Computer-aided design harmony search algorithm Non-dominated sorting genetic algorithm

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