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Dissertations / Theses on the topic 'Cooperative artificial bee colony'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Lee, Jessica. "Vägplanering i dataspel med hjälp av Artificial Bee Colony Algorithm." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11044.

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Artificial Bee Colony Algorithm är en algoritm som tidigare tillämpats på många numeriska optimeringsproblem. Algoritmen är dock inte vanligt förekommande vad gäller vägplanering i dataspel. Detta arbete undersöker ifall algoritmen presterar bättre än A* på fyra olika testmiljöer eftersom A* är en av de mest använda algoritmerna för vägplanering i dataspel och således en bra referens. De aspekter som jämförs vid mätningarna är algoritmernas tidsåtgång samt längden på de resulterande vägarna. En riktad slumpgenerering av vägar har implementerats till algoritmen som gör att den inte fungerar på

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2

Hashim, Mohd Ruzaini. "Improved spiral dynamics and artificial bee colony algorithms with application to engineering problems." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/20175/.

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3

Marrè, Badalló Roser. "Implementation and Testing of Two Bee-Based Algorithms in Finite Element Model Updating." Thesis, KTH, Bro- och stålbyggnad, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-140846.

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Finite Element Model Updating has recently arisen as an issue of vast importance on the design, construction and maintenance of structures in civil engineering. Many algorithms have been proposed, developed and enhanced in order to accomplish the demands of the updating process, mainly to achieve computationally efficient programs and greater results.The present Master Thesis proposes two new algorithms to be used in Finite Element Model Updating: the Bees Algorithms (BA) and the Artificial Bee Colony algorithm (ABC). Both were first proposed in 2005, are based on the foraging behaviour of bee

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4

Idachaba, Unekwu Solomon. "A bio-inspired cache management policy for cloud computing environments using the artificial bee colony algorithm." Thesis, University of Kent, 2015. https://kar.kent.ac.uk/57856/.

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Caching has become an important technology in the development of cloud computing-based high-performance web services. Caches reduce the request-response latency experienced by users and reduce workload on backend databases. Caches need a high cache-hit rate to be fit for purpose, and this is dependent on the cache management policy used. Existing cache management policies do not prevent cache pollution and cache monopoly. This lack of prevention impacts negatively on cache hit rates. This work presents a Bio-inspired Community-based Caching (BCC) approach to address these two problems, by draw

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5

Santos, Daniela Scherer dos. "Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/18249.

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Agrupamento de dados é o processo que consiste em dividir um conjunto de dados em grupos de forma que dados semelhantes entre si permaneçam no mesmo grupo enquanto que dados dissimilares sejam alocados em grupos diferentes. Técnicas tradicionais de agrupamento de dados têm sido usualmente desenvolvidas de maneira centralizada dependendo assim de estruturas que devem ser acessadas e modificadas a cada passo do processo de agrupamento. Além disso, os resultados gerados por tais métodos são dependentes de informações que devem ser fornecidas a priori como por exemplo número de grupos, tamanho do

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6

Tatjana, Jakšić Krüger. "Development, implementation and theoretical analysis of the bee colony optimization meta-heuristic method." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=104550&source=NDLTD&language=en.

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The Ph.D. thesis addresses a comprehensive study of the bee colonyoptimization meta-heuristic method (BCO). Theoretical analysis of themethod is conducted with the tools of probability theory. Necessary andsufficient conditions are presented that establish convergence of the BCOmethod towards an optimal solution. Three parallelization strategies and fivecorresponding implementations are proposed for BCO for distributed-memorysystems. The influence of method’s parameters on the performance of theBCO algorithm for two combinatorial optimization problems is analyzedthrough the experimental

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7

Melo, Everton Luiz de. "Meta-heurísticas Iterated Local Search, GRASP e Artificial Bee Colony aplicadas ao Job Shop Flexível para minimização do atraso total." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-15122014-002717/.

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O ambiente de produção abordado neste trabalho é o Job Shop Flexível (JSF), uma generalização do Job Shop (JS). O problema de programação de tarefas, ou jobs, no ambiente JS é classificado por Garey; Johnson e Sethi (1976) como NP-Difícil e o JSF é, no mínimo, tão difícil quanto o JS. O JSF é composto por um conjunto de jobs, cada qual constituído por operações. Cada operação deve ser processada individualmente, sem interrupção, em uma única máquina de um subconjunto de máquinas habilitadas. O principal critério de desempenho considerado é a minimização dos atrasos dos jobs. São apresentados m

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8

Basaran, Dilek. "Design, Production And Development Of Mini/micro Robots To Form A Cooperative Colony." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1058874/index.pdf.

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Design, production and development of individual mini/micro robots and then formation of their cooperative colony are the main topics of this thesis. The produced mini/micro robots are as small and light as possible. In addition, they are multifunctional (programmable), flexible and intelligent while maintaining a very low production cost. Mini/micro robots, called MinT-DB series are able to communicate with each other to work cooperatively. Moreover, these robots can be the basis for the future studies considering the application of artificial intelligence and modeling of live colonies in the

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9

Kavaliauskas, Donatas. "Dirbtinės bičių kolonijos algoritmai ir jų taikymai maršrutų optimizavimo uždaviniams spręsti." Bachelor's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130729_153102-94516.

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Šiame darbe yra trumpai apžvelgiami dalelių spiečių sistemų algoritmai, maršrutų optimizavimo uždaviniai ir jų formuluotės, bei praktinės interpretacijos. Plačiau apžvelgiami dirbtinių bičių kolonijų algoritmai ir jų pritaikymas keliaujančio pirklio uždaviniams spręsti. Taip pat šiame darbe galima rasti dirbtinių bičių kolonijų algoritmo pritaikymą keliaujančio pirklio uždaviniams spręsti, bei sukurtos programos skaičiavimo rezultatų analizę.<br>This paper consists of short description of swarm systems algorithms, route optimisation problems overview and longer description of artificial bee co

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SOUZA, Viviane Lucy Santos de. "Uma metodologia para síntese de circuitos digitais em FPGAs baseada em otimização multiobjetivo." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/17339.

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Submitted by Irene Nascimento (irene.kessia@ufpe.br) on 2016-07-12T18:32:53Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Tese_Final_bib.pdf: 4325542 bytes, checksum: 5cafa644d256b743ce0f06490e4d5920 (MD5)<br>Made available in DSpace on 2016-07-12T18:32:53Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Tese_Final_bib.pdf: 4325542 bytes, checksum: 5cafa644d256b743ce0f06490e4d5920 (MD5) Previous issue date: 2015-08-20<br>Atualmente, a evolução na arquitetura dos FPGAs (Field programa

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Matakas, Linas. "Dirbtinės bičių kolonijos algoritmai ir jų taikymai skirstymo uždaviniams spręsti." Bachelor's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130729_150200-28811.

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Šiame darbe yra trumpai apžvelgiami dalelių spiečių sistemų algoritmai, skirstymo uždaviniai ir jų formuluotės, bei praktinės interpretacijos, plačiau apžvelgiami ir analizuojami dirbtinių bičių kolonijų algoritmai. Taip pat šiame darbe galima rasti dirbtinių bičių kolonijų algoritmo pritaikymą skirstymo uždaviniams spręsti, bei sukurtos programos skaičiavimo rezultatų analizę.<br>This paper consists of short descriptions of swarm systems algorithms, assigment problems and longer overview of artificial bee colony algorithms and it‘s analysis. Moreover, you can find an Artificial Bee Colony Alg

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Duarte, Grasiele Regina. "Um algoritmo inspirado em colônias de abelhas para otimização numérica com restrições." Universidade Federal de Juiz de Fora (UFJF), 2015. https://repositorio.ufjf.br/jspui/handle/ufjf/3544.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-03-06T11:57:32Z No. of bitstreams: 1 grasielereginaduarte.pdf: 2553018 bytes, checksum: e0b9afbcc0b18965321f8db8ea7d38b8 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-03-06T20:19:40Z (GMT) No. of bitstreams: 1 grasielereginaduarte.pdf: 2553018 bytes, checksum: e0b9afbcc0b18965321f8db8ea7d38b8 (MD5)<br>Made available in DSpace on 2017-03-06T20:19:40Z (GMT). No. of bitstreams: 1 grasielereginaduarte.pdf: 2553018 bytes, checksum: e0b9afbcc0b18965321f8db8ea7d38b8 (MD5) Previous is

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13

Vladimir, Bugarski. "Ekspertski sistem za upravljanje brodskom prevodnicom zasnovan na računarskoj inteligenciji." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2015. http://www.cris.uns.ac.rs/record.jsf?recordId=95378&source=NDLTD&language=en.

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U disertaciji je dato jedno rešenje automatskog operativnogupravljanja dvosmernom brodskom prevodnicom sa jednom komorom.Kreiran je ekspertski sistem zasnovan na rasplinutoj (fuzzy) logici.Upravljački sistem je testiran na modelu brodske prevodnice koji jekreiran na osnovu statističkih podataka o gustini saobraćaja nahidrosistemu DTD (Dunav-Tisa-Dunav), na osnovu tehničkedokumentacije brodske prevodnice i na osnovu razgovora saoperaterima. Sistem je zatim optimizovan globalnim algoritmimaoptimizacije. Dobijeno rešenje se pokazalo značajno bolje u poređenjusa standardnim algoritmima odluke.<br>

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14

Loubiere, Peio. "Amélioration des métaheuristiques d'optimisation à l'aide de l'analyse de sensibilité." Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1051/document.

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L'optimisation difficile représente une classe de problèmes dont la résolution ne peut être obtenue par une méthode exacte en un temps polynomial.Trouver une solution en un temps raisonnable oblige à trouver un compromis quant à son exactitude.Les métaheuristiques sont une classe d'algorithmes permettant de résoudre de tels problèmes, de manière générique et efficiente (i.e. trouver une solution satisfaisante selon des critères définis: temps, erreur, etc.).Le premier chapitre de cette thèse est notamment consacré à la description de cette problématique et à l'étude détaillée de deux familles

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15

Cho, Tzu-Ling, and 卓子菱. "Fuzzy Artificial Bee Colony Algorithm." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/nb7jvw.

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碩士<br>義守大學<br>資訊管理學系<br>105<br>This study discussed Artificial Bee Colony Algorithm(ABC) was proposed by Karaboga in 2005. This optimization algorithm has a stable convergence rate, solving capabilities and an amount of control parameters. Though ABC has many advantages, there are still has some problems, such as the regional situation and the slow convergence. Therefore, this study refers to the research of Improved ABC, presented Fuzzy Artificial Bee Colony Algorithm(FABC). This research utilized fuzzy theory and Differential Evolution to improve the searching capability and falling into loc

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16

Tsai, Shang-Lin, and 蔡尚麟. "Objects Tracking Based on Artificial Bee Colony Algorithm." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/6gyu8r.

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碩士<br>國立中央大學<br>電機工程學系<br>103<br>In recent years, as cameras and monitors become more and more popular, object tracking becomes a hot issue. In order to improve the accuracy of the tracking object and solve the occlusion problem, in this thesis, the Artificial Bee Colony (ABC) algorithm is used for object tracking in real time. In terms of object detection, in this thesis, the background subtraction is used for it can cut out complete targets, has low computation and be easily applied to real-time systems. Besides, the improved seed region growing method is used to distinguish every target and

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Han, Neysa Ignacia, and Neysa Ignacia Han. "Automatic Clustering using Improved Artificial Bee Colony Algorithm." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/92563657787932484120.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>101<br>Cluster analysis is an important technique in data mining. Many clustering algorithms have been proposed, but most of them need predetermined number of clusters. Unfortunately, unavailable information regarding number of clusters is commonly happened in real-world problems. Thus, this study intends to overcome this problem by proposing an algorithm for automatic clustering. The proposed algorithm is developed based on a population-based heuristic method, automatic clustering using improved artificial bee colony algorithm (ACIBC). It overcomes two main issues i

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Liu, Chia-Chien, and 劉佳倩. "Artificial Bee Colony Algorithms for Portfolio Optimization Problems." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/04193596577989134590.

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碩士<br>元智大學<br>工業工程與管理學系<br>99<br>As global economy of today is slowdown and meager salary and interest of term deposit can’t adjust to the impact of inflation, financial investment has become an important focus of public concern. Artificial Bee Colony (ABC), one of metaheuristic algorithms, has attracted lots of attention in optimization field in recent years. ABC, employing the idea of swarm intelligence, simulates the principle of bee foraging behavior in the nature. Thus, this study adopts ABC to solve Portfolio Optimization Problem, and to provide effective portfolio as a reference basis o

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Chen, Jhih-Sian, and 陳志賢. "Dynamic Information Exchange based Artificial Bee Colony Algorithm." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/27413486050117817692.

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碩士<br>亞東技術學院<br>資訊與通訊工程研究所<br>102<br>In the traditional artificial bee colony algorithm, bees only use one dimension when moving to find food sources. This type of movement leads to the bees’ obviously diminished ability to exchange information. In order to improve this problem, the dynamic information exchange based artificial bee colony algorithm was put forth in this study. In this paper, the dynamic information adjustment mechanism is proposed. A suitable number of dimensions will involve for bees’ movement in current generation according to solution searching status. It can be used to pro

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Lee, Yuan-Chieh, and 李元傑. "Enhanced Artificial Bee Colony Algorithm with Centroid Strategy." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/36073207169039210717.

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碩士<br>中原大學<br>資訊管理研究所<br>99<br>Artificial Bee Colony (ABC) was proposed in 2005 by the Karaboga, it has a very good stability and solves capability, the control parameter is few, computing simple and easy to implement. ABC is also already studied by several experiments, many scholars have been affirmed, and gradually be taken seriously, and have been widely used in various optimization problems. In recent years, scholars also start falling overboard for improvement ABC, making it become a popular object of study in recent years. ABC, while having very good stability, but there are still prema

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Huang, Shau-Tsuen, and 黃少村. "Enhanced Artificial Bee Colony Algorithm with Double Skips." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/78371714589155798976.

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碩士<br>中原大學<br>資訊管理研究所<br>99<br>To optimize the artificial bee colony algorithm(ABC), this study proposed double skips and PSO’ bee strategy for modifications regarding problems, such as local optimization and inexact search of the algorithm. The double skips is consisted of the single-skip global exploration and the double-skips of in-depth exploitation. In terms of modifying employee bees of ABC, single skip can result in significant jump search of the bee colony to enable bee colony of moving failure to fly to new area for exploration by mapping of relative positions. Double skips is the exp

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Huang, Jun-Xian, and 黃俊賢. "Digital Filter Design using Artificial Bee Colony Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/19201496577064879745.

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碩士<br>樹德科技大學<br>電腦與通訊系碩士班<br>100<br>This thesis focuses on the digital filter design based on using artificial bee colony (ABC) algorithm. The ABC algorithm is the optimization method of intelligent behavior and it is the population-based searching to fulfill the optimization purpose. In the algorithm, there are three different kinds of bees: employed bees, onlookers, and scouts. Each of food sources represents a possible solution to the optimized problem and the bees choose the food source according to the messages of itself and the partners. Digital filter is the discrete-time system with th

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Cheng, Hao-Wen, and 鄭皓文. "Adaptive Population Size of Artificial Bee Colony Algorithm." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2zj623.

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碩士<br>國立東華大學<br>電機工程學系<br>106<br>This thesis presents a novel adaptive population size of artificial bee colony algorithm (APSABC). The algorithm changes the population size to improve the search ability of the artificial bee colony algorithm. The purpose of adaptive population size is to use computing resources more effectively, and it has better performance than the original artificial bee colony algorithm, which has fixed population size. New bees are generated using optimal solution guidance and random bee average. The best solution guides the search ability around the best solution. The r

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Chou, Yu-Wen, and 周于文. "Optimum Design of Structures by Artificial Bee Colony Algorithm." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/15938371420226511660.

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碩士<br>淡江大學<br>航空太空工程學系碩士班<br>102<br>The Artificial Bee Colony (ABC) Algorithm was applied to the optimum design of structures in this study. The ABC algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of honeybees. The advantage of ABC algorithm is quick convergence less settings of parameter, and extensive searching range. The employed bee and unemployed bee execute large range searching and the food source was chosen by the onlooker bee depending on the probability value associated with that food source. The FORTRAN and APDL of ANSYS sof

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Cai, Wan-Ting, and 蔡宛庭. "A Novel Artificial Bee Colony Algorithm with Diversity Strategy." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/42701301246113073530.

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碩士<br>中原大學<br>資訊管理研究所<br>99<br>Artificial bee colony algorithm has been proven to be a simple structure, easy to use, rapid convergence speed, and it can be effectively applied to the complex optimization problem. However, there are problem of premature convergence and difficulties escaping the local optimum. In order to avoid those disadvantages, we propose a new diversity strategy improved ABC algorithm. Diversity strategy can be balanced between exploring and exploiting. The experimental results show, the proposed methods raised the performance of ABC algorithm.

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Yang, Ching-Yuan, and 楊清淵. "Improving Artificial Bee Colony Algorithm with Elite Escaping Strategy." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/47015184158563053537.

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碩士<br>中原大學<br>資訊管理研究所<br>100<br>The artificial bee colony algorithm ,a novel algorithm in recent years, has been shown to be superior to Genetic algorithms, Particle Swarm Optimization algorithms, and Differential Evolution algorithm. However,there is still room for its improvement in accuracy and convergence rate; in addition, it also involves the issue in terms of the problem of the algorithm,which is easy to fall into the local optimal solution. This study proposes a search formula for improved employed bees and onlookers bee, by the use of optimal solution vector as well as individual opti

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Lin, Jeng Rung, and 林政融. "Artificial Bee Colony Algorithm to Construct of Classifier Ensemble." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/93959829488834424355.

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碩士<br>華梵大學<br>資訊管理學系碩士班<br>102<br>Data classification method is one of the main tasks of data mining. In the literature, there are many classic base inducers used to train the classifier such as neural network, decision tree…etc., which are all individual classifier. In the past few years, many researches have proposed that the classifier ensemble, which composed by more than one individual classifier, is more effective than any individual classifier of the classifier ensemble. Inter-integrated classifier has diversity, with each classifier weights or non-weight samples of the new collective d

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Chen, Jian-Ren, and 陳建任. "Protein Folding Simulation Using a Modified Artificial Bee Colony Algorithm." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/07709957462112842810.

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碩士<br>朝陽科技大學<br>資訊工程系碩士班<br>97<br>In the computational biology, the prediction of proteins conformation from its amino acid sequence is one of the most prominent problems, solving the problem of protein structure is the most important works for study proteins, Hydrophobic-hydrophilic (HP) model is highly simplified model; it can represent behavioral properties of real-world proteins. Protein folding problem in the HP lattice model is the problem of finding the lowest free energy conformation. In order to enhance the performance of predicting protein structure, we propose a modified artificial

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Huang, Wei-Jun, and 黃威鈞. "Using the Taguchi Methods to Research Artificial Bee Colony Parameters." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/02071811177890819652.

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碩士<br>逢甲大學<br>工業工程與系統管理學系<br>103<br>This research used ABC (Artificial Bee Colony) combining Taguchi Methods excepted to the that situational about setup time and ready time scheduling problems would efficiency got the best answer and operating about comparing a factor experiment and this method the effects which of them was the better efficiency. It showed that adding Taguchi Methods combining ABC (Artificial Bee Colony) would get the better results.

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Hsieh, Ming-Hsun, and 謝明勳. "A Novel Artificial Bee Colony Algorithm with Opposition-Based Learning." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/18220282148601992450.

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碩士<br>中原大學<br>資訊管理研究所<br>100<br>The Artificial Bee Colony algorithm (ABC) popular in recent years evolutionary computation, the advantage of a simple parameter setting, high stability, fast convergence and high quality solutions, and can be applied to real world problems, initial Exploration of accuracy is not high in the solution process, however, vulnerable to the region the optimal solution can not jump out of the weak features of the solution space and the development stage. Opposition-based learning strategies improved Employee bees in this study, the introduction of the optimal solution

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Chiao, Huai-hsu, and 焦懷緒. "A Novel Artificial Bee Colony Algorithm with Nearest Neighbor Strategy." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/83020374608482285210.

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碩士<br>中原大學<br>資訊管理研究所<br>100<br>The artificial bee colony algorithm (ABC) over the wide area search, and fast convergence shortcomings caused the search accuracy is not easy to fall into the region optimal solution (Karaboga &; Akay, 2009). In this paper, the recent bee strategy for improved mobile formulas and replacement policy to replace the scouts trip formula to improve the problems in this area. Bee strategy proposed in this study improved artificial bee colony algorithm (NCABC), confirmed through experiments that can effectively enhance the accuracy and stability of artificial bee colon

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Jhang, Rong-Zuo, and 張榮座. "Using Improved Artificial Bee Colony Algorithms for Neural Fuzzy Networks." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/83gj7p.

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碩士<br>國立虎尾科技大學<br>電機工程研究所<br>101<br>This dissertation proposes two algorithms for neural fuzzy networks (NFN) in nonlinear control problem. The two algorithms are including the improved artificial bee colony (IABC) algorithm, and improved artificial bee colony with chaotic map (IABC_CM) algorithm. This dissertation consists of the two major parts. In the first part, the IABC method is proposed for the NFN model. The IABC adopts operator of differential evolution (DE) as the search strategy of artificial bee colony (ABC) to generate new solution and uses greedy selection to decide better soluti

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WANG, TING-BEN, and 王庭本. "Artificial Bee Colony Algorithm to Construct Non - Random Forest Classifier Ensemble." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/xr22td.

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碩士<br>華梵大學<br>資訊管理學系碩士班<br>105<br>Data classification method is one of the main tasks of data mining. In the literature, there are many classic base inducers used to train the classifier such as neural network, decision tree…etc., which are all individual classifier. In the past few years, many researches have proposed that the classifier ensemble, which composed by more than one individual classifier, is more effective than any individual classifier of the classifier ensemble. A classifier ensemble is a set of classifiers that are diverse and yet accurate and individual decisions are combined

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Hsu, Ｋung-Shin, and 許恭實. "Fuel Cell Optimization Parameters Estimate by Artificial Bee Colony Optimization Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/82919075614695213241.

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碩士<br>逢甲大學<br>電機工程所<br>100<br>In response to the increasing depletion of natural resources on Earth, countries around the world all work actively in the development of green renewable energy. On one hand, the useful life of other sources can be extended; on the other hand, it can reduce the concentration of carbon dioxide in the air to avoid the ozone layer destruction. However, wind power, solar power and other renewable energy sources have intermittent feature, which has to be compatible with effective energy storage system to achieve higher economic efficiency. Due to fuel cells can improve

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Che-FuChiu and 邱哲夫. "An automatic clustering system with dynamic clustering artificial bee colony algorithm." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/90565365389297902538.

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碩士<br>國立成功大學<br>資訊管理研究所<br>101<br>Clustering is an important technology in data mining. It is an unsupervised learning method. Clustering algorithm partitions input data into each cluster through similarity measure, where the data within a cluster are similar and the data in different clusters are dissimilar. Among many clustering algorithms, Metaheuristic clustering algorithms becomes popular recently in solving clustering problems. In different types of clustering methods, Metaheuristic clustering is a partition clustering method. To compare with the most well-known partition clustering algo

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劉耿彣. "Using Artificial Bee Colony to Solve Unrelated Parallel-Machine Scheduling Problems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/99180952465183233665.

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Kao, Pei-Chun, and 高培鈞. "Artificial Bee Colony Algorithm for Multiple Objectives Optimal Power Dispatch Study." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/88w57z.

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碩士<br>國立臺北科技大學<br>電機工程系所<br>105<br>The traditional economic dispatch method has considered a single object function which is to minimize the generation cost. In fact, there are more than one object with related constraints to consider meeting the power demand requirements. In practical system, the problems have more than one object function to be optimized. These objectives normally conflict each others. In recent years, due to the rise of environmental awareness. For example, we optimized the generation cost as main objective, it might cause other cost increasing if we neglect line loss and p

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HUANG, SZU-CHI, and 黃思齊. "Artificial Bee Colony Algorithm for Solving an Operating Room Scheduling Problem." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/hrvm49.

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Liu, Chia Ming, and 劉家銘. "Applying Local Search Based Artificial Bee Colony Algorithm to Nurse Rostering Problem." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/agfg9v.

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Kuo-HsinHuang and 黃國信. "An Group Composition Scheme for Collaborative Learning Using Artificial Bee Colony Optimization." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/14759647944051079460.

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Cheng-HsienChang and 張政賢. "A Learning Companion Recommendation Systemfor Facebook Using an Artificial Bee Colony Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/84638718988371687108.

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Hung-ChangLi and 李弘彰. "A Dynamic Question Generation System on Facebook Using Artificial Bee Colony Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/79420705219197964601.

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碩士<br>國立成功大學<br>工程科學系專班<br>100<br>Facebook is currently one of the world's most popular social networking services, and has been widely used in the field of e-learning. In an e-learning environment, learners need a good and efficient way to assess their abilities and learning effectiveness. In this study, a Dynamic Question Generation System was proposed. Based on the theory of Computerized Adaptive Test, the proposed system used the artificial bee colony algorithm to find the suitable questions for each learner according to the learner's profile, and Facebook articles reading experience, prof

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Chuang, Ya-Lan, and 莊雅嵐. "A Hybrid Artificial Bee Colony Algorithm for Vehicle Routing with Cross-docks." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/75793206230743780822.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>101<br>Cross-docking is a one of the best pick-up and delivery strategies to reducing inventory costs and shortening the goods cycle. Cross-docking is for transition of goods rather than providing a storage place. The goods are unloaded from inbound vehicles and are sorted according to the destinations. The sorted goods are then uploaded to the outbound vehicles for delivery. In this study, we hybridize the artificial bee colony algorithm with three constraint-handling heuristics and two improvement local-search procedures. Following the mathematical model of the cr

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WANG, HAO-YU, and 王浩宇. "Investors' Appropriate Used in Stock Portfolio Strategy for Artificial Bee Colony Algorithm." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/jxwm48.

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碩士<br>輔仁大學<br>資訊管理學系碩士在職專班<br>106<br>Information technology brings convenience to people, making investment tools more diversified and convenient, but for investors who generally do not have a financial and financial background, it is difficult to effectively integrate these tools and information to make appropriate Investment decisions, so choosing the right investment tools and commodities for you is very important. According to the above research questions, in this study, the individual's risk assessment is the target and combined with the algorithm to select the products suitable for the i

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Lu, Tsung-yu, and 呂宗祐. "Artificial Bee Colony Applied to time-cost trade-off problems in Construction Engineering." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/39u858.

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碩士<br>國立臺灣科技大學<br>營建工程系<br>100<br>Profit generated from civil construction is mainly determined by cost and project duration, which share a correlative relation. Cost could be reduced by extending the duration of project, and vice versa. This correlation is known as “Time-cost trade-off problems”. In practice, network, used to monitor construction progress, is based on Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT). However, large-scale and complicated projects often come with several options for construction methods in each sub-task. Hence, traditional methods a

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Wu, Yi-Ren, and 吳易任. "A Novel Artificial Bee Colony Algorithm with Centroid Strategy and Opposition-Based Learning." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/r3n45w.

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碩士<br>中原大學<br>資訊管理研究所<br>101<br>Artificial Bee Colony algorithm (ABC) is a collective intelligence algorithm which refers to bee swarm`s division of labor mode. Because ABC has more excellent performance than other algorithms especially the function optimization field, scholars have pay attention to it continuously since the first published. The distinctive features of ABC include simple calculation, easy to implement, and low demand parameter settings. However, there are still some defects in it, such as regional search which was unable to improve continuously, falling into local optimal solu

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Wen, Jen-Chien, and 溫仁傑. "Study on Mobile Wireless Sensor Network Localization Using the Artificial Bee Colony Algorithm." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/t3cmfp.

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碩士<br>國立臺北科技大學<br>電機工程系所<br>102<br>In recent years, smart mobile devices and the associated applications in various fields have been getting popular and many of them require the positioning function, for example: medical monitoring, mobile positioning and indoor navigation etc. Consequently, localization methods for wireless sensor networks play an important role in the aforementioned applications. In this thesis, a localization method for mobile sensor networks is presented. In order to reduce localization errors, the artificial bee colony (ABC) algorithm is used to modify the estimated coord

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Ye, Xuan-Bo, and 葉宣伯. "An Algorithm of Face Recognition Based on Artificial Bee Colony Algorithm and K-means." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/b87c84.

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碩士<br>中原大學<br>電機工程研究所<br>102<br>In this thesis, we propose a face recognition method based on artificial bee colony algorithm and K-means. The main purpose is to hope that through this face recognition system, the face can be detected rapidly and framed up. We use this system to promote effectively the recognition rate of face recognition. In this thesis, we will present the architecture, methods and experimental results in our system. At first, we introduce our system architecture including image preprocessing, face detection, feature extraction and face recognition. Then we present the meth

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Chang, Wei-Lun, and 張偉倫. "An Artificial Bee Colony besed Algorithm to Extend Network Lifetime in Wireless Sensor Networks." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/64613194310586225244.

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碩士<br>朝陽科技大學<br>資訊管理系碩士班<br>102<br>Due to the sensed data (temperature, humidity, pressure and so on) of sensor nodes need to consider the confidentiality and integrity in Wireless Sensor Network (WSN), an intrusion detection system called patrol intrusion detection system (PIDS) is proposed. The PIDS transmits an attack feature packet by roam way among patrol nodes to detect malicious sensor nodes. However, if there is not good roam path to transmit attack feature packet, sensor nodes'' battery energy will consume rapidly to make WSN lifetime reduce. Artificial Bee Colony (ABC) algo

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Huang, Chao-Hsun, and 黃昭勳. "Optimum Design of Structures by an Hybrid Artificial Bee Colony and Differential Evolution Algorithm." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/98520821932683504720.

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碩士<br>淡江大學<br>航空太空工程學系碩士班<br>103<br>An Hybrid Artificial Bee Colony (ABC) and Differential Evolution Algorithm (DE) was applied to the optimum design of structures in this study. The ABC algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of honeybees. The advantages of ABC algorithm are quick convergence, less settings of parameter, easy to escape from the local optimal solution, and extensive searching range. Differential Evolution algorithm is an evolutional technique that has advantages of easy to implement, little parameter tuning req

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