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A novel harmony search based optimization of reinforced concrete biaxially loaded columns

STRUCTURAL ENGINEERING AND MECHANICS 2015年第6期54卷 1097-1109页

作者： Nigdeli, Sinan Melih Bekdas, Gebrail Kim, Sanghun Geem, Zong Woo Istanbul Univ Dept Civil Engn TR-34320 Istanbul Turkey Temple Univ Dept Civil & Environm Engn Philadelphia PA 19122 USA Gachon Univ Dept Energy IT Songnam 461701 South Korea

A novel optimization approach for reinforced concrete (RC) biaxially loaded columns is proposed. Since there are several design constraints and influences, a new computation methodology using iterative analyses for several stages is proposed. In the proposed methodology random iterations are combined with music inspired metaheuristic algorithm called harmony search by modifying the classical rules of the employed algorithm for the problem. Differently from previous approaches, a detailed and practical optimum reinforcement design is done in addition to optimization of dimensions. The main objective of the optimization is the total material cost and the optimization is important for RC members since steel and concrete are very different materials in cost and properties. The methodology was applied for 12 cases of flexural moment combinations. Also, the optimum results are found by using 3 different axial forces for all cases. According to the results, the proposed method is effective to find a detailed optimum result with different number of bars and various sizes which can be only found by 2000 trial of an engineer. Thus, the cost economy is provided by using optimum bars with different sizes.

关键词： reinforced concrete biaxially loaded columns optimization metaheuristic algorithms harmony search algorithm

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Solving the shortest-path problem in logistics distribution for vehicle-routing optimization 12

Solving the shortest-path problem in logistics distribution ...

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12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

作者： Jia, Baoxian Wang, Yong Yuan, Jinhai Li, Junqing Liaocheng Univ Coll Comp Sci Liaocheng 252059 Peoples R China Dongbei Univ Coll Comp Sci Shenyang 110006 Peoples R China

ISBN: (纸本)9781509040933

The classical harmony search (HS) algorithm has been improved. The algorithm effectively prevents it from becoming trapped by a local optimal solution. It allows to be used to deale the shortest-path issue. To solve the shortest route problem, we improved the classical harmony algorithm and seek the optimal solution in the global scope. Second, by the application of the dynamic priority value encoding scheme, we constructed the path based on the priority value of correspondent nodes of variables in the harmonic vector. Through the iterative update of the harmony memory banks, we finally obtained the shortest route. Finally the simulation experiments show us that the proposed algorithm is better than PSO algorithm and HS algorithm on the performance.

关键词： harmony search algorithm continuous optimization problems constrained optimization problems penalty function model shortest-path problem

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Design of a Hybrid Stable Adaptive Fuzzy Controller Employing Lyapunov Theory and harmony search algorithm

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IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 2010年第6期18卷 1440-1447页

作者： Das Sharma, Kaushik Chatterjee, Amitava Rakshit, Anjan W Bengal Univ Technol Kalyani Govt Engn Coll Dept Elect Engn Kalyani 741235 W Bengal India Jadavpur Univ Dept Elect Engn Kolkata 700032 India

This brief proposes hybrid stable adaptive fuzzy controller design procedures utilizing the conventional Lyapunov theory and, the relatively newly devised harmony search (HS) algorithm-based stochastic approach. The objective is to design a self-adaptive fuzzy controller, optimizing both its structures and free parameters, such that the designed controller can guarantee desired stability and simultaneously it can provide satisfactory performance with a high degree of automation in the design process. Two different variants of the hybrid controller are proposed in this work. These variants are implemented for a benchmark simulation case study and real-life experimentation. The results obtained demonstrate the usefulness of the proposed approach.

关键词： Adaptive fuzzy logic controllers (AFLCs) harmony search algorithm hybrid approaches Lyapunov theory stochastic optimization

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Applications of harmony search algorithms in Engineering

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

作者： Siddique, Nazmul Adeli, Hojjat Univ Ulster Sch Comp & Intelligent Syst Coleraine BT48 7JL Londonderry North Ireland Ohio State Univ Coll Engn Columbus OH 43210 USA

In a recent article the authors reviewed the principles of harmony search and journal articles on harmony search algorithm (HSA). This article presents a review of applications of HSA including structural design, hydrologic model design, water distribution network design, water pump switching problem, transmission network expansion planning problem, job shop scheduling problem, university timetable and rosterering problem, training neural networks, clustering, combined heat and power economic dispatch problem, economic load dispatch problem, and economic and emission dispatch problem.

关键词： Genetic algorithm harmony search algorithm metaheuristic algorithm optimization

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Cost optimization of a composite floor system using an improved harmony search algorithm

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JOURNAL OF CONSTRUCTIONAL STEEL REsearch 2010年第5期66卷 664-669页

作者： Kaveh, A. Abadi, A. Shakouri Mahmud Iran Univ Sci & Technol Ctr Excellence Fundamental Studies Struct Engn Tehran 16 Iran Bldg & Housing Res Ctr Tehran 14 Iran

In this study, cost optimization of a composite floor system is performed utilizing the harmony search algorithm and an improved harmony search algorithm. These algorithms imitate the musical performance process that takes place when a musician searches for a better state of harmony, similar to the optimum design process which looks for the optimum solution. A composite floor system is designed by the LRFD-AISC method, using a unit consisting of a reinforced concrete slab and steel beams. The objective function is considered as the cost of the structure, which is minimized subjected to serviceability and strength requirements. Examples of composite floor systems are presented to illustrate the performance of the presented algorithms. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Structural optimization Composite structures harmony search algorithm Load and resistance factor design

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A Prediction based Two-Layered Scheduling Approach for Uncertain Scheduling of Hot Strip Mill 8

A Prediction based Two-Layered Scheduling Approach for Uncer...

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8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

作者： Zhong, Huaxing Liu, Min Tsinghua Univ Dept Automat Beijing 100084 Peoples R China

ISBN: (纸本)9781509007684

In this paper, the uncertain scheduling problem of hot strip mill (HSM) is studied, in which the uncertainty of slab supply is considered. We propose a prediction based two-layered scheduling approach (PTLSA) which contains an offline optimization layer and an online adjustment layer. In the offline optimization layer, the arrival probability of each slab group is first predicted by the relevance vector machine (RVM), and then a hybrid harmony search (HHS) algorithm is proposed to generate a predictive rolling round. In the online adjustment layer, if some slab cannot arrive during the execution of the predictive rolling round, an online adjustment rule is designed to select another slab belonging to the same group in order to replace the one cannot arrive. Computational results on industrial data have demonstrated the effectiveness of PTLSA under the uncertain production environment.

关键词： hot strip mill uncertain scheduling relevance vector machine harmony search algorithm

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An Intelligent Method for Breast Cancer Diagnosis Based on Fuzzy ART and Metaheuristic Optimization 14th

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14th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON)

作者： Hassani, K. Jafarian, K. Islamic Azad Univ Sci & Res Branch Dept Biomech Tehran Iran

ISBN: (纸本)9783319327037;9783319327013

Breast cancer is one of the major causes of death in women when compared to all other cancers. This cancer has become the most hazardous types of cancer among women in the world. Early detection of breast cancer is essential in reducing life losses. In this paper some metaheuristic optimization algorithms was used to find the parameters of the Fuzzy-ART. Fuzzy-ART is not so strong to deal with above data. However, its performance is significantly improved by using evolutionary optimization methods. These hybrid classification techniques were tested on a training data set provided by the Wisconsin dataset for breast cancer. Results showed that the proposed harmony search (HS) algorithm provides better result with less time and less number of steps than genetic algorithm (GA) and particle swarm optimization (PSO) in the same conditions. As seen in this research, evolutionary HS algorithm had a higher convergence ability to obtain optimal solution too. The best performance obtained from this algorithm is 97.80% for accuracy and 98.92% for specificity.

关键词： Breast Cancer Diagnosis Fuzzy-ART Metaheuristic Optimization Genetic algorithm Particle Swarm Optimization harmony search algorithm

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Fatigue life prediction of asphalt concrete pavement using a harmony search algorithm

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KSCE JOURNAL OF CIVIL ENGINEERING 2010年第5期14卷 725-730页

作者： Suh, Youngchan Mun, Sungho Yeo, Insoo Korea Expressway Corp Expressway & Transportat Res Inst Hwaseong 445812 South Korea Hanyang Univ Rd & Airport Res Lab Ansan 426791 South Korea Korea Rd & Transportat Assoc Seoul 135849 South Korea

This paper proposes an efficient harmony search (HS) algorithm for determining the material parameters of a fatigue cracking model based on Accelerated Pavement Testing (APT). APT is preferred over typical laboratory experiments and testing because APT can simulate field pavement performance. The main advantage of the HS heuristic algorithm is its ability to find the best global solution of a nonlinear complex function based on a stochastic random search instead of a gradient search that requires derivative information. Finally, this paper develops a fatigue cracking model according to the hypothesis of cumulative damage for the asphalt concrete layer and compares APT to existing models. In comparison with existing models, the APT model is found to have the capability of simulating the field performance because it considers the wandering effect, resulting in longer fatigue cracking life than those life computed by the models from existing lab experiments.

关键词： Fatigue cracking model harmony search algorithm Accelerated pavement testing Asphalt Concrete

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A metaheuristic optimization framework for informative gene selection

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Informatics in Medicine Unlocked 2016年 4卷 10-20页

作者： Das, Kaberi Mishra, Debahuti Shaw, Kailash Institute of Technical Education and Research Siksha O Anusandhan University Bhubaneswar Odisha India Department of Computer Engineering D.Y. Patil College of Enggineering Akrudi Pune India

This paper presents a metaheuristic framework using harmony search (HS) with Genetic algorithm (GA) for gene selection. The internal architecture of the proposed model broadly works in two phases, in the first phase, the model allows the hybridization of HS with GA to compute and evaluate the fitness of the randomly selected solutions of binary strings and then HS ranks the solutions in descending order of their fitness. In the second phase, the offsprings are generated using crossover and mutation operations of GA and finally, those offsprings were selected for the next generation whose fitness value is more than their parents evaluated by SVM classifier. The accuracy of the final gene subsets obtained from this model has been evaluated using SVM classifiers. The merit of this approach is analyzed by experimental results on five benchmark datasets and the results showed an impressive accuracy over existing feature selection approaches. The occurrence of gene subsets selected from this model have also been computed and the most often selected gene subsets with the probability of [0.1–0.9] have been chosen as optimal sets of informative genes. Finally, the performance of those selected informative gene subsets have been measured and established through probabilistic measures. © 2016

关键词： Gene Selection Genetic algorithm harmony search algorithm Metaheuristic SVM

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Novel harmony search-based algorithms for part-of-speech tagging

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KNOWLEDGE AND INFORMATION SYSTEMS 2015年第3期42卷 709-736页

作者： Forsati, Rana Shamsfard, Mehrnoush Shahid Beheshti Univ Fac Elect & Comp Engn Nat Language Proc NLP Res Lab GC Tehran Iran

As a fast and high-quality tagger algorithm is a crucial task in natural language processing, this paper presents novel language-independent algorithms based on harmony search (HS) optimization method for handling the part-of-speech (PoS) tagging problem. The first proposed algorithm is a framework for applying HS to PoS-tagging which is called HSTAGger. By modifying HS algorithm and proposing more efficient objective functions, two improved versions of the HSTAGger are also introduced. In addition, a novel class of problematic words called erroneous as well as a method of handling them is proposed for the first time to the best of our knowledge. To demonstrate the effectiveness of the proposed algorithms, we have applied them on standard annotated corpus and compare them with other evolutionary-based and classical PoS-tagging approaches. Experimental results indicate that the proposed algorithms outperform the other taggers previously presented in the literature in terms of average precision.

关键词： Natural language processing (NLP) Part-of-speech (PoS) tagging harmony search algorithm Evolutionary algorithms

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