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An improved harmony search algorithm for power economic load dispatch

ENERGY CONVERSION AND MANAGEMENT 2009年第10期50卷 2522-2526页

作者： Coelho, Leandro dos Santos Mariani, Viviana Cocco Pontif Catholic Univ Parana Ind & Syst Engn Grad Program PPGEPS BR-80215901 Curitiba Parana Brazil Pontif Catholic Univ Parana Dept Mech Engn PPGEM BR-80215901 Curitiba Parana Brazil

A meta-heuristic algorithm called harmony search (HS), mimicking the improvisation process of music players, has been recently developed. The HS algorithm has been successful in several optimization problems. The HS algorithm does not require derivative information and uses stochastic random search instead of a gradient search. In addition, the HS algorithm is simple in concept, few in parameters, and easy in implementation. This paper presents an improved harmony search (IHS) algorithm based on exponential distribution for solving economic dispatch problems. A 13-unit test system with incremental fuel cost function taking into account the valve-point loading effects is used to illustrate the effectiveness of the proposed IHS method. Numerical results show that the IHS method has good convergence property. Furthermore, the generation costs of the IHS method are lower than those of the classical HS and other optimization algorithms reported in recent literature. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Optimization harmony search algorithm Power economic load dispatch

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Performance optimization of HVAC systems with computational intelligence algorithms

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ENERGY AND BUILDINGS 2014年 81卷 371-380页

作者： He, Xiaofei Zhang, Zijun Kusiak, Andrew Univ Iowa Dept Mech & Ind Engn Iowa City IA 52242 USA City Univ Hong Kong Dept Syst Engn & Engn Management Hong Kong Hong Kong Peoples R China

A model for minimization of HVAC energy consumption and room temperature ramp rate is presented. A data-driven approach is employed to construct the relationship between input and output parameters using data collected from a commercial building. Computational intelligence algorithms are applied to solve the non-parametric model. Experiments are conducted to analyze performance of the three computational intelligence algorithms. The experiment results indicate that particle swarm optimization and harmony search algorithms are suitable for solving the proposed optimization model. Three case studies of HVAC performance optimization based on simulation are presented. The computational results demonstrate that simultaneous minimization of energy and room temperature ramp rate is more beneficial than minimization of energy only. The proposed approach is implemented to demonstrate its capability of saving energy. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Energy optimization HVAC system Data mining Evolutionary algorithm Particle swarm optimization harmony search algorithm

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Intelligent stochastic framework to solve the reconfiguration problem from the reliability view

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IET SCIENCE MEASUREMENT & TECHNOLOGY 2014年第5期8卷 245-259页

作者： Kavousi-Fard, Abdollah Niknam, Taher Khooban, Mohammad Hassan Shiraz Univ Technol Dept Elect & Elect Engn Shiraz Iran

This study proposes a new method to employ the distribution feeder reconfiguration as a reinforcement strategy to enhance the reliability of the distribution systems. Also, several wind power sources are considered to assess their effects on the reliability indices. In order to make the final results more dependable, a stochastic framework based on the probabilistic power flow is utilised to consider the uncertainty of forecast/measurement error of the active and reactive loads, failure rate, repair rate and output generation of wind units, concurrently. The objective functions to be investigated are (i) system average interruption frequency index, (ii) average energy not supplied, (iii) active power losses and (iv) total cost. Moreover, a new modified optimisation method based on harmony search algorithm is proposed to improve the total ability of the algorithm to explore the problem search space globally. The effectiveness and efficiency of the proposed method are examined through two radial distribution test systems.

关键词： power distribution reliability wind power stochastic processes measurement errors measurement uncertainty failure analysis optimisation intelligent stochastic framework reconfiguration problem distribution feeder reconflguration distribution systems reliability wind power sources probabilistic power flow measurement error uncertainty failure rate repair rate wind units output generation system average interruption frequency index active power losses total cost optimisation method harmony search algorithm radial distribution test systems

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Modified Metaheuristic algorithms for the Optimal Design of Multiplier-Less Non-uniform Channel Filters

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2014年第3期33卷 815-837页

作者： Bindiya, T. S. Elias, Elizabeth Natl Inst Technol Dept Elect & Commun Engn Calicut 673601 Kerala India

Reconfigurable non-uniform channel filters are now being widely used in software define radio (SDR). The hardware implementation of these filters requires low complexity, low chip area and low power consumption. The frequency response masking (FRM) approach is proved to be a good candidate for the realization of a sharp digital finite impulse response (FIR) filter with low complexity. To reduce the complexity further, this paper gives an optimal design method which makes the channel filters totally multiplier-less. This is done in two steps. The channel filters are designed using the FRM approach with continuous filter coefficients. To obtain multiplier-less design, these filter coefficients are converted to finite-precision coefficients using signed power of two (SPT) space and the filter coefficients are synthesized in the canonic signed-digit (CSD) format. But this may lead to degradation of the filter performance. Hence the filter coefficients synthesis in the CSD format is formulated as an optimization problem. Several meta-heuristic algorithms like Differential Evolution (DE), Artificial Bee Colony (ABC), harmony search algorithm (HSA) and Gravitational search algorithm (GSA) are modified and deployed and the best one is selected.

关键词： Frequency response masking Canonic signed digit Metaheuristic algorithms Artificial bee colony harmony search algorithm Gravitational search algorithm

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

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INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS 2015年第6期24卷 1550021-1550021页

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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Hybrid optimisation method for optimal power flow using flexible AC transmission system devices

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IET GENERATION TRANSMISSION & DISTRIBUTION 2014年第12期8卷 2036-2045页

作者： Huang, Chao-Ming Huang, Yann-Chang Kun Shan Univ Dept Elect Engn Tainan 71003 Taiwan Cheng Shiu Univ Dept Elect Engn Kaohsiung 83347 Taiwan

This study proposes a hybrid optimisation method for optimal power flow using a flexible AC transmission system (FACTS). The FACTS plays an important role in the dynamic stability and steady-state control of power systems. This study achieves steady-state control by determining the types and the optimal locations of the FACTS devices and their associated values in the transmission lines. To determine the optimal solutions to the FACTS allocation problem, a hybrid optimisation method that combines a harmony search algorithm and an ant system is proposed. The objective functions of power flow considered are the active power transmission loss, the performance index of the active power flow in the transmission lines and the performance index of the voltage difference between buses. The proposed method was verified on the IEEE 30-bus and Taiwan Power Company 345 kV simplified systems. The results demonstrate that the proposed method improves the total transfer capability and provides better steady-state control of power systems than existing methods do.

关键词： load flow control flexible AC transmission systems power transmission lines power transmission control power system stability optimal control search problems ant colony optimisation hybrid optimisation method optimal power flow flexible AC transmission system device dynamic stability steady-state power system control transmission line FACTS allocation problem harmony search algorithm ant system active power transmission loss voltage bus difference IEEE 30-bus system Taiwan Power Company voltage 345 kV

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Two parameter-tuned meta-heuristics for a discounted inventory control problem in a fuzzy environment

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INFORMATION SCIENCES 2014年 276卷 42-62页

作者： Mousavi, Seyed Mohsen Sadeghi, Javad Niaki, Seyed Taghi Akhavan Alikar, Najmeh Bahreininejad, Ardeshir Metselaar, Hendrik Simon Cornelis Islamic Azad Univ Qazvin Branch Fac Ind & Mech Engn Qazvin Iran Sharif Univ Technol Dept Ind Engn Tehran *** Iran Univ Kebangsaan Malaysia Dept Sci & Technol Bangi 43600 Selangor Malaysia Univ Malaya Fac Engn Dept Mech Engn Kuala Lumpur 50603 Malaysia

In this paper, a nearly real-world multi-product, multi-period inventory control problem under budget constraint is investigated, where shortages in combination with backorders and lost sales are considered for each product. The ordered quantities of products are delivered in batch sizes with a known number of boxes, each containing a pre-specified number of products. Some products are purchased under an all unit discount policy, and others are purchased under an incremental quantity discount with fuzzy discount rates. The goal is to find the optimal ordered quantities of products such that not only the total inventory cost but also the required storage space (considered as a fuzzy number) to store the products is minimized. The weighted linear sum of objectives is applied to generate a single-objective model for the bi-objective problem at hand and a harmony search algorithm is developed to solve the complex inventory problem. As no benchmarks are available to validate the obtained results, a particle-swarm optimization algorithm is employed to solve the problem in addition to validate the results given by the harmony search method. The parameters of both algorithms are tuned using both Taguchi and response surface methodology (RSM). Finally, to assess the performance of the proposed algorithms some numerical examples are generated, and the results are compared statistically. (C) 2014 Elsevier Inc. All rights reserved.

关键词： Multi-product multi-period inventory Fuzzy discount rate Fuzzy storage space harmony search algorithm Particle swarm optimization Taguchi

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An intelligent global harmony search approach to continuous optimization problems

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APPLIED MATHEMATICS AND COMPUTATION 2014年第0期232卷 670-684页

作者： Valian, Ehsan Tavakoli, Saeed Mohanna, Shahram Taipei Chengshih Univ Sci & Technol Dept Informat & Management Taipei 112 Taiwan

harmony search algorithm is a meta-heuristic optimization method imitating the music improvisation process, where musicians improvise their instruments' pitches searching for a perfect state of harmony. To solve continuous optimization problems more efficiently, this paper presents an improved harmony search algorithm using the swarm intelligence technique. Applying the proposed algorithm to several well-known benchmark problems, it is shown that it can find better solutions in comparison with both basic harmony search algorithms, and improved harmony search algorithms such as the self-adaptive global-best harmony search as well as novel global harmony search. Furthermore, a study on the effect of changing the parameters of the proposed algorithm on its performance is carried out. Finally, the proper values of the algorithm parameters are suggested. (c) 2014 Elsevier Inc. All rights reserved.

关键词： harmony search algorithm Global optimization Swarm intelligence

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Metaheuristic algorithms for the design of multiplier-less non-uniform filter banks based on frequency response masking

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SOFT COMPUTING 2014年第8期18卷 1529-1547页

作者： Bindiya, T. S. Elias, Elizabeth Natl Inst Technol Calicut Dept Elect & Commun Engn Calicut 673601 Kerala India

In this paper, multiplier-less nearly perfect reconstruction tree structured non-uniform filter banks (NUFB) are proposed. When sharp transition width filter banks are to be implemented, the order of the filters and hence the complexity will become very high. The filter banks employ an iterative algorithm which adjusts the cut off frequencies of the prototype filter, to reduce the amplitude distortion. It is found that the proposed design method, in which the prototype filter is designed by the frequency response masking method, gives better results when compared to the earlier reported results, in terms of the number of multipliers when sharp transition width filter banks are needed. To reduce the complexity and power consumption for hardware realization, a design method which makes the NUFB totally multiplier-less is also proposed in this paper. The NUFB is made multiplier-less by converting the continuous filter bank coefficients to finite precision coefficients in the signed power of two space. The filter bank with finite precision coefficients may lead to performance degradation. This calls for the use of suitable optimization techniques. The classical gradient based optimization techniques cannot be deployed here, because the search space consists of only integers. In this context, meta-heuristic algorithm is a good choice as it can be tailor made to suit the problem under consideration. Thus, this design method results in near perfect NUFBs which are simple and multiplier-less and have linear phase and sharp transition width with very low aliasing. Also, different non-uniform bands can be obtained from the tree structured filter bank by rearranging the branches.

关键词： Tree structured filter banks Frequency response masking Canonic signed digit Metaheuristic optimization algorithms Genetic algorithm Differential evolution Artificial bee colony algorithm Gravitational search algorithm harmony search algorithm

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Experimental and modeling investigation of surface roughness in end-milling of polyamide 6/multi-walled carbon nano-tube composite

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2014年第5-8期75卷 979-989页

作者： Zinati, Reza Farshbaf Razfar, M. R. Amirkabir Univ Technol Dept Mech Engn Tehran Iran

Nowadays, Manufacturers tend to use polymer nano-composites as raw material because of their high thermo-mechanical properties and strength to weight ratio. Due to production methods of nano-composites which result in simple cross-sections and rising demands for private products, the need for machining polymers has increased. In this study, the surface roughness of polyamide 6/multi-walled carbon nano-tube composite has been investigated after end-milling. The nano-composite samples were produced with 3.5 wt% of multi-walled carbon nano-tube by friction stir process. In order to ensure the quality of fabricated nano-composites, X-ray diffraction and scanning electron microscopy were used to evaluate it. End-milling was conducted at different levels of spindle speed and feed per tooth on polyamide 6 (with and without multi-walled carbon nano-tube) to study the resulted surface roughness. Then, analysis of variance was conducted to evaluate the parameters' influence on surface roughness. Additionally, the optimal cutting parameters were determined by coupling artificial neural network and harmony search algorithm. Results reveal that surface quality increases with decrease of feed per tooth, and increase of spindle speed and carbon nano-tubes improve the surface quality.

关键词： Polymer-based nano-composite Surface roughness Friction stir process harmony search algorithm Artificial neural network Analysis of variance

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