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Self-Adaptive Artificial Bee Colony for Function Optimization

Mingzhu Tang, Wen Long, Huawei Wu, Kang Zhang, Yuri A. W. Shardt
<span title="">2017</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t52irh65rngqvezxvphrgkyg7e" style="color: black;">Journal of Control Science and Engineering</a> </i> &nbsp;
Artificial bee colony (ABC) is a novel population-based optimization method, having the advantage of less control parameters, being easy to implement, and having strong global optimization ability.  ...  In order to coordinate the ability of global and local search, we first propose a self-adaptive ABC algorithm (denoted as SABC) in which an improved position-updated equation is used to guide the search  ...  Artificial Bee Colony ABC is metaheuristic optimization method inspired by hunting behavior of honey bee swarm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2017/4851493">doi:10.1155/2017/4851493</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2lv5qfoqcjayhiq6mmuqktcjzq">fatcat:2lv5qfoqcjayhiq6mmuqktcjzq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190222230138/http://pdfs.semanticscholar.org/3dfb/2a9671c909e35e8db44f8f788ede23b94896.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/fb/3dfb2a9671c909e35e8db44f8f788ede23b94896.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2017/4851493"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Self Adaptive Artificial Bee Colony for Global Numerical Optimization

Wenxiang Gu, Minghao Yin, Chunying Wang
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zy6wu5tesbbynfuiadfw6zh6fu" style="color: black;">Information Engineering Research Institute procedia</a> </i> &nbsp;
In this paper, we propose a self adaptive artificial bee colony, called self adaptive ABC, for the global numerical optimization.  ...  A new self adaptive perturbation is introduced in the basic ABC algorithm, in order to improve the convergence rates. 23 benchmark functions are employed in verifying the performance of self adaptive ABC  ...  Karaboga [6] proposed a modify versions of the artificial bee colony. The modified artificial bee colony applied for efficiently solving real parameter optimization problem.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ieri.2012.06.011">doi:10.1016/j.ieri.2012.06.011</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2l7dksovrzeidd5vsyz4ksazca">fatcat:2l7dksovrzeidd5vsyz4ksazca</a> </span>
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Improvement of Artificial Bee Colony Algorithm Based on Self-Adaptive Random Optimization Strategy

Xin LIU, Xiao-peng YANG, Zi-xuan SU
<span title="2017-07-28">2017</span> <i title="DEStech Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/52spf3of4jbu5da2xrhvubclcy" style="color: black;">DEStech Transactions on Computer Science and Engineering</a> </i> &nbsp;
Firstly, the improved algorithm was derived from the self-adaptive method to update the new location of ABC so as to improve the correlation within the bee colony.  ...  Secondly, BRO mechanism was used to restrain the direction of searching for fitness function in order to improve local searching ability.  ...  with artificial bee colony.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/smce2017/12454">doi:10.12783/dtcse/smce2017/12454</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6vued3g4ebghfmsmsbndxm66mq">fatcat:6vued3g4ebghfmsmsbndxm66mq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180723000612/http://dpi-proceedings.com/index.php/dtcse/article/download/12454/11989" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cc/2a/cc2a88d526e1332a54e1c3950adf78226f732dc0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/smce2017/12454"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Image Fuzzy Enhancement Based on Self-Adaptive Bee Colony Algorithm

Meng Lei, Yao Fan
<span title="2014-12-01">2014</span> <i title="Universitas Ahmad Dahlan"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/avuzjspx3nh5lboz3nsmpd3ba4" style="color: black;">TELKOMNIKA (Telecommunication Computing Electronics and Control)</a> </i> &nbsp;
Integrating artificial bee colony algorithm and fuzzy set, this paper introduces fuzzy entropy into the self-adaptive fuzzy enhancement of image so as to realize the selfadaptive parameter selection.  ...  In the meanwhile, based on the exponential properties of information increase, it proposes a new definition of fuzzy entropy and uses artificial bee colony algorithm to realize the self-adaptive contrast  ...  Then, it integrates artificial bee colony algorithm and fuzzy sets and introduces fuzzy entropy into the self-adaptive fuzzy enhancement of image so as to realize the self-adaptive parameter selection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12928/telkomnika.v12i4.534">doi:10.12928/telkomnika.v12i4.534</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4otzgfdgcre5vcya6rc4nj4msq">fatcat:4otzgfdgcre5vcya6rc4nj4msq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922040453/http://journal.uad.ac.id/index.php/TELKOMNIKA/article/download/534/pdf_40" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3c/55/3c552837211b91145cee2f4c6309875ae279749e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12928/telkomnika.v12i4.534"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Optimum Design of a Five-phase Permanent Magnet Synchronous Motor for Underwater Vehicles by use of Particle Swarm Optimization

Reza Ilka, S. Asghar Gholamian
<span title="2012-12-01">2012</span> <i title="Universitas Ahmad Dahlan"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/avuzjspx3nh5lboz3nsmpd3ba4" style="color: black;">TELKOMNIKA (Telecommunication Computing Electronics and Control)</a> </i> &nbsp;
Integrating artificial bee colony algorithm and fuzzy set, this paper introduces fuzzy entropy into the self-adaptive fuzzy enhancement of image so as to realize the selfadaptive parameter selection.  ...  In the meanwhile, based on the exponential properties of information increase, it proposes a new definition of fuzzy entropy and uses artificial bee colony algorithm to realize the self-adaptive contrast  ...  Then, it integrates artificial bee colony algorithm and fuzzy sets and introduces fuzzy entropy into the self-adaptive fuzzy enhancement of image so as to realize the self-adaptive parameter selection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12928/telkomnika.v10i4.860">doi:10.12928/telkomnika.v10i4.860</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x6jp5l3hx5a75ejuuwyowv4s4u">fatcat:x6jp5l3hx5a75ejuuwyowv4s4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922040453/http://journal.uad.ac.id/index.php/TELKOMNIKA/article/download/534/pdf_40" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3c/55/3c552837211b91145cee2f4c6309875ae279749e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12928/telkomnika.v10i4.860"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A modified Artificial Bee Colony algorithm for real-parameter optimization

Bahriye Akay, Dervis Karaboga
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ozlq63ehnjeqxf6cuxxn27cqra" style="color: black;">Information Sciences</a> </i> &nbsp;
In this work, modified versions of the Artificial Bee Colony algorithm are introduced and applied for efficiently solving real-parameter optimization problems.  ...  The Artificial Bee Colony algorithm is one of the most recent swarm intelligence based algorithms which simulates the foraging behaviour of honey bee colonies.  ...  The Artificial Bee Colony (ABC) algorithm, proposed by Karaboga in 2005 for real-parameter optimization, is a recently introduced optimization algorithm which simulates the foraging behaviour of a bee  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ins.2010.07.015">doi:10.1016/j.ins.2010.07.015</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vi4thikbxffrzmhvjepenby3pa">fatcat:vi4thikbxffrzmhvjepenby3pa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170814185617/http://isiarticles.com/bundles/Article/pre/pdf/7415.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ac/18/ac18fb179a405f80bcfe94704ede659edafa1ee8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ins.2010.07.015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A novel chaotic artificial bee colony algorithm based on Tent map

Fangjun Kuang, Zhong Jin, Weihong Xu, Siyang Zhang
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2dmkezwdzrcofn7zdzzte2h75i" style="color: black;">2014 IEEE Congress on Evolutionary Computation (CEC)</a> </i> &nbsp;
A novel self-adaptive chaotic artificial bee colony algorithm based on Tent map (STOC-ABC) is proposed to enhance the global convergence and the population diversity.  ...  Furthermore, the self-adaptive Tent chaotic searching is implemented at the zones nearby individual optimum solution to help the artificial bee colony (ABC) algorithm to escape from the local optimum effectively  ...  The self-adaptive Tent chaotic search is applied to help the artificial bee colony (ABC) algorithm to escape from local optimum effectively.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cec.2014.6900278">doi:10.1109/cec.2014.6900278</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cec/KuangJXKZ14.html">dblp:conf/cec/KuangJXKZ14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/scjb6be4frgcjan7eg6ncgdrmu">fatcat:scjb6be4frgcjan7eg6ncgdrmu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705124637/http://www.patternrecognition.cn/%7Ezhongjin/2014/2014_Kuangfangjun_Congress.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/99/70/997001349910a749bd32ff36448adfe7360f15d9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cec.2014.6900278"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Parameter Adaptive Artificial Bee Colony Algorithm for Real-Parameter Optimization

Jian Feng Qiu, Ji Wen Wang, Dan Yang, Juan Xie, Nan Zhen Yao
<span title="2013-05-01">2013</span> <i title="International Association of Online Engineering (IAOE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lxl6vvnlnfe2zcobu77tt62fvu" style="color: black;">International Journal of Online Engineering (iJOE)</a> </i> &nbsp;
A new adaptive variant of Artificial Bee Colony algorithm, PAABC, is proposed to improve optimization performance and enhance the robustness of ABC algorithm by incorporating current to pbest − − into  ...  According to the characteristic of optimization problem, the control parameter will be update adaptively.  ...  ACKNOWLEDGMENT The authors would like to express their gratitude to the anonymous reviewers for their valuable comments and suggestions on this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3991/ijoe.v9is4.2609">doi:10.3991/ijoe.v9is4.2609</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hj7wdseqdrgs7o7o24mbov54u4">fatcat:hj7wdseqdrgs7o7o24mbov54u4</a> </span>
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Improved Artificial Bee Colony Algorithm and Application in Path Planning of Crowd Animation

Bai Jing, Liu Hong
<span title="2015-03-31">2015</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ipzxul43l5gzra2ybnqv2nfjpe" style="color: black;">International Journal of Control and Automation</a> </i> &nbsp;
In order to overcome these, an improved artificial bee colony (IM-ABC) algorithm is proposed to apply on the path planning of crowd animation.  ...  based on chaos sequence, selfadaptively selecting the follower bees, and adaptively controlling parameters, etc.  ...  Conclusion In this paper, an improved artificial bee colony algorithm is proposed on chaotic sequence and self-adaptive control parameters.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijca.2015.8.3.08">doi:10.14257/ijca.2015.8.3.08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/juhwzhyzivedvgvfel4csv6miq">fatcat:juhwzhyzivedvgvfel4csv6miq</a> </span>
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Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization

Tinggui Chen, Renbin Xiao
<span title="">2014</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nxzqpsogkbe55mjq33syzghf2e" style="color: black;">The Scientific World Journal</a> </i> &nbsp;
Artificial bee colony (ABC) algorithm, inspired by the intelligent foraging behavior of honey bees, was proposed by Karaboga.  ...  It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony optimization (ACO), and particle swarm optimization (PSO).  ...  The Original Artificial Bee Colony Algorithm The artificial bee colony has been inspired by the intelligent behavior of real honey bees.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2014/438260">doi:10.1155/2014/438260</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24772023">pmid:24772023</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3948480/">pmcid:PMC3948480</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/njs7icrkznbkdi6jnobp2ulg6m">fatcat:njs7icrkznbkdi6jnobp2ulg6m</a> </span>
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6x9=42 | A brief introduction to swarm intelligence [article]

H. Kemal Ilter
<span title="2019-11-02">2019</span> <i title="figshare"> Figshare </i> &nbsp;
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial.  ...  ALGORITHMS Artificial bee colony algorithm Intelligent foraging behaviour. • D.  ...  "On the usage of differential evolution for function optimization".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.10193084.v1">doi:10.6084/m9.figshare.10193084.v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dazq3r2m45bmpm7ovs4xvfwsoi">fatcat:dazq3r2m45bmpm7ovs4xvfwsoi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210013027/https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/18366215/6942_copy.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/69/de69ec6de8b51f7f5835e6649d6e87af0f3efbfd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.10193084.v1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> figshare.com </button> </a>

A Multistrategy Optimization Improved Artificial Bee Colony Algorithm

Wen Liu
<span title="">2014</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nxzqpsogkbe55mjq33syzghf2e" style="color: black;">The Scientific World Journal</a> </i> &nbsp;
Being prone to the shortcomings of premature and slow convergence rate of artificial bee colony algorithm, an improved algorithm was proposed.  ...  Through simulation experiments of 10 standard testing functions and compared with other algorithms, the results showed that the improved algorithm had faster convergence rate and the capacity of jumping  ...  Artificial Bee Colony Algorithm. Artificial bee colony algorithm uses simulating the mechanism of bees collecting nectar to achieve the optimization processing function.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2014/129483">doi:10.1155/2014/129483</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24982924">pmid:24982924</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3997130/">pmcid:PMC3997130</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2kyjvzanobg7zi72rpcuelkjjy">fatcat:2kyjvzanobg7zi72rpcuelkjjy</a> </span>
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A survey: algorithms simulating bee swarm intelligence

Dervis Karaboga, Bahriye Akay
<span title="">2009</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/srtrvzrec5a3fmhgvgc3676jlu" style="color: black;">Artificial Intelligence Review</a> </i> &nbsp;
Springer-Verlag, pp 789-798 Karaboga B, Basturk B (2007b) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (abc) algorithm.  ...  A new class of nature-inspired algorithms for self-adaptive peer-to-peer computing. ACM Trans Auton Adapt Syst 3(3):1-34  ...  They used penalty function approach for handling constraints. Yang (2005) developed a virtual bee algorithm (VBA) to solve the numerical function optimizations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10462-009-9127-4">doi:10.1007/s10462-009-9127-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lk3bhpg4lngrvbcuc2z7uooaue">fatcat:lk3bhpg4lngrvbcuc2z7uooaue</a> </span>
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An Improved Adaptive Genetic Algorithm for the Multi-depot Vehicle Routing Problem with Time Window

Chun-Ying Liu
<span title="2013-05-30">2013</span> <i title="Academy Publisher"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/drz46fz5hfbfnerxeguotm7kmy" style="color: black;">Journal of Networks</a> </i> &nbsp;
Index Terms-multi-depot vehicle routing problem, genetic algorithm, artificial bee colony algorithm, adaptive optimization  ...  An adaptive genetic algorithm based on the artificial bee colony algorithm is developed for the solution process of the multi-depot vehicle routing problem.  ...  Abandon the adaptability for getting the artificial Bee Colony genetic algorithm ABCG, and remove the artificial Bee Colony algorithm for the adaptive genetic algorithm AGA.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4304/jnw.8.5.1035-1042">doi:10.4304/jnw.8.5.1035-1042</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f5oewq2stjhyljerhchd5g2pa4">fatcat:f5oewq2stjhyljerhchd5g2pa4</a> </span>
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On the performance of artificial bee colony (ABC) algorithm

D. Karaboga, B. Basturk
<span title="">2008</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/spnlkxfb7fevrarnlb7rv32roy" style="color: black;">Applied Soft Computing</a> </i> &nbsp;
Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms.  ...  This work compares the performance of ABC algorithm with that of differential evolution (DE), particle swarm optimization (PSO) and evolutionary algorithm (EA) for multi-dimensional numeric problems.  ...  For optimizing multivariable numerical functions, Karaboga has described a bee swarm algorithm called artificial bee colony (ABC) algorithm [22] , which is different from the virtual bee algorithm, and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.asoc.2007.05.007">doi:10.1016/j.asoc.2007.05.007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mazk7lfpjzbv3pxghilxnygdy4">fatcat:mazk7lfpjzbv3pxghilxnygdy4</a> </span>
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