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bees algorithm for multi-mode, resource-constrained project scheduling in molding industry

COMPUTERS & INDUSTRIAL ENGINEERING 2017年 112卷 187-196页

作者： Oztemel, Ercan Selam, Ayse Aycim Univ Marmara Dept Ind Engn Istanbul Turkey

In a resource-constrained environment project planning and scheduling becomes an extremely complex problem. For real life project schedules multi-mode resource requirements remarkably increase the complexity of and enlarge the respective solution spaces. Therefore schedulers require systematic methodologies compatible with the real world implementations in order to generate cost effective schedules. Similarly, plastic injection molding is known to be a "make-to order" process. The manufacturing of the mold which is a unique and essential component of plastic injection is considered kind of a project. The aim of this study is set to investigate the possibility of utilizing bees algorithm for single-resource, multi-mode, resource-constrained mold project scheduling in order to generate a systematic approach to solve the problems of this nature. A Bee-Based Mold Scheduling Model is therefore proposed and employed on a set of problems with different dimensions for the proof of concept. Detail description of an injection molding project together with respective performance analysis is also provided. After the implementation of the proposed methodology, it is well proven that, even for high number of activities and limited resources, the proposed method generates suitable schedules for the projects of this kind the implementation and respective modelling is explained and the results are discussed in detail within the text. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Project scheduling bees algorithm Multi-mode resource utilization Plastic injection molding

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bees algorithm for interference suppression of linear antenna arrays by controlling the phase-only and both the amplitude and phase

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EXPERT SYSTEMS WITH APPLICATIONS 2010年第4期37卷 3129-3135页

作者： Guney, K. Onay, M. Erciyes Univ Fac Engn Dept Elect & Elect Engn TR-38039 Kayseri Turkey Erciyes Univ Civil Aviat Sch Dept Aircraft Elect & Elect TR-38039 Kayseri Turkey

In this paper, bees algorithm (BA) has been used for null steering in the antenna radiation pattern by controlling the phase-only and the complex weights (both the amplitude and phase) of the array elements. The BA is an optimization algorithm inspired by the behavior of the honey bees to find the optimal way of harvesting food resources around the hive. Simulation results for Chebyshev patterns with the imposed single, multiple and broad nulls are given to show the effectiveness of the proposed method. The sensitivity of the nulling patterns due to small variations of the element phases is also investigated. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Antenna array Pattern nulling bees algorithm Pattern synthesis

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bees algorithm for design of dual-beam linear antenna arrays with digital attenuators and digital phase shifters

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INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING 2008年第4期18卷 337-347页

作者： Guney, K. Onay, M. Erciyes Univ Fac Engn Dept Elect & Elect Engn TR-38039 Kayseri Turkey Erciyes Univ Civil Aviat Sch Dept Aircraft Elect & Elect TR-38039 Kayseri Turkey

This article describes a method of designing a reconfigurable dual-beam linear antenna array using bees algorithm (BA). The BA is an optimization algorithm inspired by the behavior of the honey bees to find the optimal way of harvesting food resources around the hive. The proposed method is very simple and can be used directly in practice to synthesize multiple beam antenna arrays with digital attenuators and digital phase shifters. A good agreement between the desired pattern and the synthesized pattern using BA is obtained. (C) 2008 Wiley Periodicals, Inc.

关键词： antenna array bees algorithm pattern synthesis multiple-beam antenna array

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bees algorithm for Construction of Multiple Test Forms in E-Testing

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IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES 2011年第3期4卷 209-221页

作者： Songmuang, Pokpong Ueno, Maomi Waseda Univ Fac Human Sci Tokorozawa Saitama 3591192 Japan Univ Electrocommun Grad Sch Informat Syst Dept Social Intelligence & Informat Chofu Tokyo 1828585 Japan

The purpose of this research is to automatically construct multiple equivalent test forms that have equivalent qualities indicated by test information functions based on item response theory. There has been a trade-off in previous studies between the computational costs and the equivalent qualities of test forms. To alleviate this problem, we propose an automated system of test construction based on the bees algorithm in parallel computing. We demonstrate the effectiveness of the proposed system through various experiments.

关键词： E-testing multiple test forms test construction bees algorithm parallel computing

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bees algorithm for generalized assignment problem

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APPLIED MATHEMATICS AND COMPUTATION 2010年第11期215卷 3782-3795页

作者： Ozbakir, Lale Baykasoglu, Adil Tapkan, Pinar Gaziantep Univ Dept Ind Engn Gaziantep Turkey Erciyes Univ Dept Ind Engn Kayseri Turkey

bees algorithm (BA) is a new member of meta-heuristics. BA tries to model natural behavior of honey bees in food foraging. Honey bees use several mechanisms like waggle dance to optimally locate food sources and to search new ones. This makes them a good candidate for developing new algorithms for solving optimization problems. In this paper a brief review of BA is first given, afterwards development of a BA for solving generalized assignment problems (GAP) with an ejection chain neighborhood mechanism is presented. GAP is a NP-hard problem. Many meta-heuristic algorithms were proposed for its solution. So far BA is generally applied to continuous optimization. In order to investigate the performance of BA on a complex integer optimization problem, an attempt is made in this paper. An extensive computational study is carried out and the results are compared with several algorithms from the literature. (C) 2009 Elsevier Inc. All rights reserved.

关键词： Meta-heuristics bees algorithm Generalized assignment problem Ejection chain Integer programming Swarm intelligence

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bees algorithm for multimodal function optimisation

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 2016年第5期230卷 867-884页

作者： Zhou, Z. D. Xie, Y. Q. Pham, D. T. Kamsani, S. Castellani, M. Wuhan Univ Technol Sch Informat Engn Luoshi Rd 122 Wuhan 430070 Peoples R China Univ Birmingham Sch Mech Engn Birmingham B15 2TT W Midlands England

The aim of multimodal optimisation is to find significant optima of a multimodal objective function including its global optimum. Many real-world applications are multimodal optimisation problems requiring multiple optimal solutions. The bees algorithm is a global optimisation procedure inspired by the foraging behaviour of honeybees. In this paper, several procedures are introduced to enhance the algorithm's capability to find multiple optima in multimodal optimisation problems. In the proposed bees algorithm for multimodal optimisation, dynamic colony size is permitted to automatically adapt the search effort to different objective functions. A local search approach called balanced search technique is also proposed to speed up the algorithm. In addition, two procedures of radius estimation and optima elitism are added, to respectively enhance the bees algorithm's ability to locate unevenly distributed optima, and eliminate insignificant local optima. The performance of the modified bees algorithm is evaluated on well-known benchmark problems, and the results are compared with those obtained by several other state-of-the-art algorithms. The results indicate that the proposed algorithm inherits excellent properties from the standard bees algorithm, obtaining notable efficiency for solving multimodal optimisation problems due to the introduced modifications.

关键词： Swarm-based algorithms multimodal optimisation bees algorithm balanced search technique hill valley

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bees algorithm for constrained fuzzy multi-objective two-sided assembly line balancing problem

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OPTIMIZATION LETTERS 2012年第6期6卷 1039-1049页

作者： Tapkan, Pinar Ozbakir, Lale Baykasoglu, Adil Erciyes Univ Dept Ind Engn Kayseri Turkey Dokuz Eylul Univ Dept Ind Engn Izmir Turkey

bees algorithm is one of the swarm intelligence based heuristics which tries to model natural behaviour of honey bees in food foraging and used to solve optimization problems. On the other hand, Two-sided Assembly Line Balancing Problem is a generalization of simple Assembly Line Balancing Problem where different assembly tasks are carried out on the same product in parallel at both left and right sides of the line. Two-sided assembly lines are generally employed for the assembly of large-sized products such as buses and trucks. Furthermore, many real life problems contain imprecise objectives and Fuzzy Multi-objective Programming gives an opportunity to handle such situations. In this study, Two-sided Assembly Line Balancing Problem is considered more realistically by employing positional, zoning and synchronous task constraints and by utilizing fuzzy approaches so as to maximize work slackness index and line efficiency, and minimize total balance delay. For solving this problem bees algorithm is used as a search mechanism for obtaining good solutions and extensive computational results are presented.

关键词： bees algorithm Two-sided assembly line balancing problem Fuzzy multi-objective programming

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A new feature selection model based on ID3 and bees algorithm for intrusion detection system

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TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2015年第2期23卷 615-622页

作者： Eesa, Adel Sabry Orman, Zeynep Brifcani, Adnan Mohsin Abdulazeez Zakho Univ Dept Comp Sci Fac Sci Duhok City Iraq Istanbul Univ Fac Engn Dept Comp Engn Istanbul Turkey Duhok Polytech Univ Duhok Tech Inst Dept Informat Technol Duhok City Iraq

Intrusion detection systems (IDSs) have become a necessary component of computers and information security framework. IDSs commonly deal with a large amount of data traffic and these data may contain redundant and unimportant features. Choosing the best quality of features that represent all of the data and exclude the redundant features is a crucial topic in IDSs. In this paper, a new combination approach based on the ID3 algorithm and the bees algorithm (BA) is proposed to select the optimal subset of features for an IDS. The BA is used to generate a subset of features, and the ID3 algorithm is used as a classifier. The proposed model is applied on KDD Cup 99 dataset. The obtained results show that the feature subset generated by the proposed ID3-BA gives a higher accuracy and detection rate with a lower false alarm rate when compared to the results obtained by using all features.

关键词： Intrusion detection system ID3 algorithm bees algorithm feature selection

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Optimisation of a PID controller for a two-floor structure under earthquake excitation based on the bees algorithm

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JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL 2018年第1期37卷 107-127页

作者： Sen, Muhammed Arif Tinkir, Mustafa Kalyoncu, Mete Selcuk Univ Dept Mech Engn Konya Turkey Necmettin Erbakan Univ Dept Mech Engn Konya Turkey

The control of vibration and displacement in structures under seismic excitation is very challenging, and designing a structural control system against disturbances has drawn great attention. This paper concentrates on implementing the bees algorithm to tune gains of traditional PID controller for active vibration control of a building-like structure with two floors under Northridge Earthquake excitation. bees algorithm is a diverse method to ensure an efficient solution for optimisation of a controller according to customary trial-error design methods. The main aim of this study is optimisation of K-P, K-I and K-D gains with bees algorithm in order to obtain a more effective PID controller to suppress vibrations of the floors during the earthquake excitation. After definition of the system and bees algorithm, PID controller offline tuned with bees algorithm using mathematical model of system. Moreover, the aim is to compare the performances of the BA with an existing optimisation method, genetic algorithm (GA), implemented on the system. The paper presents the experimental results that were obtained from the structure system to show the efficiency of the tuned PID controller. As a result, the performance and effectiveness of the tuned PID controller are investigated and verified experimentally. The displacements and accelerations of the floors and the cart are decreased considerably. The experimental responses of the system are given in graphical form.

关键词： bees algorithm two-floor structure PID controller active mass damping Northridge earthquake

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A modified bees algorithm and a statistics-based method for tuning its parameters

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING 2012年第I3期226卷 287-301页

作者： Pham, Q. T. Pham, D. T. Castellani, M. Univ Birmingham Sch Mech Engn Birmingham B15 2TT W Midlands England Univ New S Wales Sydney NSW Australia King Saud Univ Dept Informat Syst Riyadh Saudi Arabia Univ Bergen Dept Biol Bergen Norway

This paper presents a novel version of the bees algorithm. This version is characterized by an extended set of search operators, and a mechanism that protects the most recently generated solutions from competition with more evolved individuals. Compared to the standard implementation of the bees algorithm, the new procedure requires the selection of an additional set of parameters. A new statistical method is proposed to tune these extra parameters. The proposed tuning method was used to determine a unique set of learning parameters for the modified bees algorithm on eight popular function optimization benchmarks. When tested against the standard bees algorithm and two other well-known optimization procedures, the new algorithm attained top performances on nearly all the benchmarks. The experimental results also proved that, tested on a search space much larger than that where it was tuned, the modified bees algorithm still outperformed the standard method, and the degradation of the performance of the two algorithms was comparable. These results prove the effectiveness of the modified bees algorithm, and show that the proposed tuning procedure is a valuable alternative to the complex and subjective trial-and-error methods that are often used.

关键词： bees algorithm swarm intelligence evolutionary algorithms parameter tuning factorial experiment optimization

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