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Metaheuristic Optimization of Reinforced Concrete Footings

KSCE JOURNAL OF CIVIL ENGINEERING 2018年第11期22卷 4555-4563页

作者： Nigdeli, Sinan Melih Bekdas, Gebrail Yang, Xin-She Istanbul Univ Dept Civil Engn TR-34320 Istanbul Turkey Middlesex Univ Sch Sci & Technol London England

The primary goal of an engineer is to find the best possible economical design and this goal can be achieved by considering multiple trials. A methodology with fast computing ability must be proposed for the optimum design. Optimum design of Reinforced Concrete (RC) structural members is the one of the complex engineering problems since two different materials which have extremely different prices and behaviors in tension are involved. Structural state limits are considered in the optimum design and differently from the superstructure members, RC footings contain geotechnical limit states. This study proposes a metaheuristic based methodology for the cost optimization of RC footings by employing several classical and newly developed algorithms which are powerful to deal with non-linear optimization problems. The methodology covers the optimization of dimensions of the footing, the orientation of the supported columns and applicable reinforcement design. The employed relatively new metaheuristic algorithms are harmony search (HS), Teaching-Learning Based Optimization algorithm (TLBO) and Flower Pollination algorithm (FPA) are competitive for the optimum design of RC footings.

关键词： reinforced concrete footings optimization metaheuristic algorithms harmony search algorithm teaching-learning based optimization flower pollination algorithm

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A novel bat algorithm based optimum tuning of mass dampers for improving the seismic safety of structures

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ENGINEERING STRUCTURES 2018年第Mar.15期159卷 89-98页

作者： Bekdas, Gebrail Nigdeli, Sinan Melih Yang, Xin-She Istanbul Univ Dept Civil Engn TR-34320 Istanbul Turkey Middlesex Univ Design Engn & Math London England

Metaheuristic algorithms are effective for optimization with diverse applications in engineering. The optimum tuning of tuned mass dampers is very important for seismic structures excited by random vibrations, and optimization techniques have been used to obtain the best performance for optimally tuned mass dampers. In this study, a novel optimization approach employing the bat algorithm with several modifications for the tuned mass damper optimization problem is presented. In the proposed method, the design variables such as the mass, period and damping ratio of tuned mass damper are optimized and different earthquake records are considered during the optimization process. The method is then applied to a ten-story civil structure and the results are then compared with the analytical methods and other methods such as genetic algorithms, particle swarm optimization, and harmony search. The comparison shows that the proposed method is more effective than other compared methods. Additionally, the robustness of the optimum results was evaluated. The proposed approach for optimizating tuned mass dampers via the bat algorithm is a feasible and efficient approach.

关键词： Tuned Mass Damper Optimization Metaheuristic algorithms Bat algorithm harmony search algorithm

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Advanced pilot design procedure based on HS algorithm for OFDM-IDMA system

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IET COMMUNICATIONS 2018年第10期12卷 1155-1162页

作者： Simsir, Sakir Taspinar, Necmi Erciyes Univ Dept Elect & Elect Engn Kayseri Turkey

The direct effect of the pilot positions to the channel estimation performance gives an opportunity for minimising the estimation errors in multicarrier transmission technologies. To this end, harmony search (HS) algorithm is proposed for optimising the pilot distribution pattern in order to increase the performance of least squares estimator employed in orthogonal frequency division multiplexing-interleave division multiple access (OFDM-IDMA) system. Besides, the upper bound of mean square error (MSE) utilised as the fitness function of HS algorithm is obtained by using Gershgorin disc theorem to get rid of matrix inversion process required in MSE calculation. In the simulations, the authors' proposed HS-based pilot optimisation technique proves to be an effective way of pilot design for OFDM-IDMA system by providing a clear performance superiority over the other considered pilot placement strategies.

关键词： channel estimation matrix inversion OFDM modulation search problems mean square error methods multi-access systems pilot optimisation technique OFDM-IDMA system advanced pilot design procedure HS algorithm pilot positions channel estimation performance multicarrier transmission technologies harmony search algorithm pilot distribution pattern mean square error Gershgorin disc theorem MSE calculation least squares estimator orthogonal frequency division multiplexing pilot placement strategies interleave division multiple access system matrix inversion process

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An Amended harmony search algorithm for Unconstrained Optimization Problems

An Amended Harmony Search Algorithm for Unconstrained Optimi...

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第三届数字制造与自动化国际会议

作者： LI Ruoping OUYANG Haibin GAO Liqun Information & Science College Northeastern University

harmony search (HS) algorithm is a new mate heuristic algorithm, which is conceptualized using the musical improvisation process of searching for a perfect state of harmony. Its own potential and shortage, one of its main disadvantages is that it easily trapped into local optima and converges very slowly. Based on the conception of swarm intelligence, this paper presents an amended harmony search (AHS) algorithm. AHS introduces a novel position updating strategy for generating new solution vectors, which enhances solution accuracy and convergence rate of algorithm. Several standard benchmark optimization functions are to be test and compare the performance of the AHS. The results revealed the superiority of the proposed method to the HS and its three improved algorithms (IHS, GHS and NGHS).

关键词： harmony search algorithm local optima swarm intelligence amended harmony search algorithm position updating

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Optimizing a Just-In-Time logistics network problem under fuzzy supply and demand: two parameter-tuned metaheuristics algorithms

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NEURAL COMPUTING & APPLICATIONS 2018年第10期30卷 3221-3233页

作者： Memari, Ashkan Ahmad, Robiah Rahim, Abd. Rahman Abdul Hassan, Adnan Univ Teknol Malaysia UTM Razak Sch Engn & Adv Technol Dept Engn Int Campus Kuala Lumpur 54100 Malaysia Univ Teknol Malaysia Fac Mech Engn Dept Mat Mfg & Ind Engn Skudai 81310 Malaysia

Just-In-Time (JIT) is a popular philosophy in many industrial practices. The concept of JIT in early studies concerned with improving operational efficiency and waste minimization. In recent decades, however, JIT principles have also connected to logistics efficiency particularly for distribution of raw materials and finished goods. In the literature, several attempts have been made to optimize JIT logistics networks. On the one hand, most studies have typically focused on deterministic and small-scale problems which have been solved by exact algorithms. On the other hand, when large-scale problems were considered and usually were solved by metaheuristics algorithms, uncertainty sources and fine-tuning of the metaheuristics parameters were generally ignored. In this paper, we develop a mixed-integer linear optimization model to investigate a large-scale JIT logistics problem with 15 different sizes. To deal with different uncertainty sources, the customers demand and suppliers' capacity as the two main sources of uncertainty in practice are considered as triangular fuzzy parameters. The proposed model aims to minimize total logistics cost including costs of transportation, inventory holding and backorders. A particle swarm optimization algorithm is applied to solve the problem, and its results are then validated by a harmony search algorithm. Both algorithms parameters are tuned using response surface methodology and Taguchi method. Finally, the conclusion and some directions for future research are proposed.

关键词： JIT logistics Fuzzy supply and demand Particle swarm optimization harmony search algorithm Taguchi method Response surface methodology

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A Modified harmony search algorithm for Optimization Problems

A Modified Harmony Search Algorithm for Optimization Problem...

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2012 Fifth International Symposium on Computational Intelligence and Design [第五届计算智能与设计国际会议 ISCID 2012]

作者： Jiali Yang Jihong Zhu Department of Computer Science and Technology Tsinghua University Beijing China

harmony search (HS) algorithm is a new meta-heuristic optimization algorithm inspired from the music improvisation process. Though the excellent performance makes it wildly used in many areas, it is easy to get trapped in local minima. This paper is to introduce a modified harmony search algorithm to improve the performance of HS algorithm. The method is implemented by adding an "innovative" process on global harmony search algorithm (GHSA), a variant of HS algorithm. This modification would be easy to make a balance of diversification and intensification. The benchmarks are designed to test the performance of the modified HS algorithm and the results show that the innovative HS algorithm has a better performance than the basic HS algorithm and its variants. In addition, to investigate the influence of parameter bw on the algorithm's performance, the tests are also conducted under the parameter bw with different types.

关键词： harmony search algorithm Evolutionary algorithms Global optimization

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Global adaptive harmony search algorithm and its application in rough set reduction

Global adaptive harmony search algorithm and its application...

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2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

作者： Zhi Kong Lifu Wang Zhaoxia Wu Department of Automation and Engineering Northeastern University At Qinhuangdao University of Huaguoshan Qinhuangdao Hebei 066004

Inspired by the particle swarm optimization algorithm, the global information is added to the adaptive harmony search algorithm. The Global adaptive harmony search algorithm is proposed in this paper. Then five criteria are used to test the new algorithm. And its application to attribute reduction is given. The simulation result shows the effectiveness and feasibility of the algorithm.

关键词： harmony search algorithm Adaptive algorithmn Rough set Reduction

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Modelling and solving algorithm for two-stage scheduling of construction component manufacturing with machining and welding process

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INTERNATIONAL JOURNAL OF PRODUCTION REsearch 2018年第19期56卷 6378-6390页

作者： Meng, Ronghua Rao, Yunqing Zheng, Yun Qi, Dezhong Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan Hubei Peoples R China Hubei Univ Technol Hubei Agr Machinery Engn Res & Design Inst Wuhan Hubei Peoples R China

This paper focuses on a two-stage machining and welding scheduling problem based on an investigation at a structural metal manufacturing plant, aiming to minimise the total makespan. Several parts processed at Stage one according to classical job-shop scheduling are grouped into a single construction component at the second welding stage. Fabrication of the construction component cannot begin until all comprising parts have been completed at Stage one. This paper establishes a novel mathematic model to minimise the total makespan by mainly considering the dominance relationship between the construction component and the corresponding parts. In order to solve this two-stage problem, we propose an improved harmony search algorithm. A local search method is applied to the best vector at each iteration, so that a more optimal vector can be subsequently realised. The average value, minimum value, relative percentage deviation and standard deviation are discussed in the experimental section, and the proposed local best harmony search algorithm outperforms the genetic algorithm, immune algorithm and harmony search algorithm without local search. Moreover, six optimal solutions are given as Gantt charts, which vividly illustrate that the mathematical model established in this paper can facilitate the development of a better scheduling scheme.

关键词： construction component manufacturing job-shop scheduling makespan harmony search algorithm local search

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Optimal Distribution for Hydropower Load with Wind-energy

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Energy Procedia 2019年 158卷 6296-6301页

作者： Yeshuai Ge Li Mo Yongqiang Wang Shcool of Hydropower and Information Engineering Huazhong University of Science and Technology Wuhan Hubei 430074 China Changjiang River Scientific Research Institute Wuhan Hubei 430015 China

In this paper, the optimal distribution model of hydropower load is proposed and the operation constraints of wind power and hydropower are taken into consideration. In the process of sending power to the provincial network, the harmonic search algorithm is introduced to optimize the maximum power generation target, and the validity of the model is verified in the case of central China regional power grid.

关键词： Central China wind power generation hydropower generation hybrid power generation load distribution harmony search algorithm

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Automatic Composition of Instructional Units in Virtual Learning Environments

INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING

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INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING 2018年第6期13卷 86-100页

作者： Hnida, Meriem Idrissi, Mohammed Khalidi Bennani, Samir Mohammed V Univ Rabat Mohammadia Sch Engineers Lab Res Comp Sci & Educ Rabat Morocco Mohammed V Univ Rabat Mohammadia Sch Engineers Rabat Morocco Mohammed V Univ Rabat Mohammadia Sch Engineers Students & Acad Affairs Rabat Morocco

In this paper, a new approach for automatic composition of instructional units based on a new variant of harmony search algorithm is proposed. The purpose is to solve curriculum sequencing issue by designing and arranging learning content in a suitable sequence. By suitable sequence we mean a learning sequence that fits learner level and presents the content in a way that conveys its structure to learner. Results show that the proposed approach is promising. For instance, individualized courseware plan are generated "on the spot" carefully considering both students characteristics and subject-matter coherence.

关键词： Curriculum Sequencing Problem Curriculum Design CS Problem Virtual Learning Environment Evolutionary Computation harmony search algorithm Learning Path e-Learning Personalized Learning Adaptive Teaching Learning Sequence

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