Academic literature on the topic 'Imperialist competitive algorithm (ICA)'

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Journal articles on the topic "Imperialist competitive algorithm (ICA)"

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Esmaeilzadeh Tarei, Mahsan, Bijan Abdollahi, and Mohammad Nakhaei. "A fuzzy imperialistic competitive algorithm for optimizing convex functions." International Journal of Intelligent Computing and Cybernetics 7, no. 2 (2014): 192–208. http://dx.doi.org/10.1108/ijicc-12-2013-0052.

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Purpose – The purpose of this paper is to describe imperialist competitive algorithm (ICA), a novel socio-politically inspired optimization strategy for proposing a fuzzy variant of this algorithm. ICA is a meta-heuristic algorithm for dealing with different optimization tasks. The basis of the algorithm is inspired by imperialistic competition. It attempts to present the social policy of imperialisms (referred to empires) to control more countries (referred to colonies) and use their sources. If one empire loses its power, among the others making a competition to take possession of it. Design
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Jalilzadeh, Saeid, and Saman Nikkhah. "Economic Dispatch Optimization Using Imperialist Competitive Algorithm (ICA) and compare with PSO algorithm result." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 2 (2015): 6541–45. http://dx.doi.org/10.24297/ijct.v15i2.3981.

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Measurement Imperialist Competitive Algorithm (ICA) is a population based stochastic optimization technique, originallydeveloped by Eberhart and Kennedy, inspired by simulation of a social psychological metaphor instead of the survival of the fittest individual. In ICA, the system (imperialists) is initialized with a population of random solutions (colonies) and searches for optimal using cognitive and social factors by updating generations. ICA has been successfully applied to a wide range of applications, mainly in solving continuous nonlinear optimization problems. Based on the ICA, this p
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Pan, Zixiao, Deming Lei, and Qingyong Zhang. "A New Imperialist Competitive Algorithm for Multiobjective Low Carbon Parallel Machines Scheduling." Mathematical Problems in Engineering 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/5914360.

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This paper considers low carbon parallel machines scheduling problem (PMSP), in which total tardiness is regarded as key objective and total energy consumption is a non-key one. A lexicographical method is used to compare solutions and a novel imperialist competitive algorithm (ICA) is presented, in which a new strategy for initial empires is adopted. Some new improvements are also added in ICA to obtain high quality solutions, which are adaptive assimilation, adaptive revolution, imperialist innovation, and alliance and the novel way of imperialist competition. Extensive experiments are condu
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SHEIKHI, HEMMAT, and WAFA BARKHODA. "Solving the k-Coverage and m-Connected Problem in Wireless Sensor Networks through the Imperialist Competitive Algorithm." Journal of Interconnection Networks 20, no. 01 (2020): 2050002. http://dx.doi.org/10.1142/s0219265920500024.

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This study presents a new method based on the imperialist competitive algorithm (ICA-based) to solve the k-coverage and m-connected problem in wireless sensor networks (WSNs) through the least sensor node count, where the candidate positions for placing nodes are pre-specified. This dual featured problem in WSNs is a nondeterministic polynomial (NP)-hard problem therefore, ICA the social-inspired evolutionary algorithm is assessed and ICA-based scheme is designed to solve the problem. This newly proposed ICA-based scheme provides an efficient algorithm for representing the imperialistic compet
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Ayoub, Mohamed ahmed. "Short-Term Hydrothermal Scheduling using Imperialist Competitive Algorithm." ELEKTRIKA- Journal of Electrical Engineering 20, no. 1 (2021): 15–20. http://dx.doi.org/10.11113/elektrika.v20n1.241.

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In this study, the Imperialist Competitive Algorithm (ICA) is proposed to solve a multi-chain Short-Term Hydrothermal Scheduling problem (STHTS). It aims to minimize the generation cost of the thermal plants while satisfying the thermal and hydro plants constraints. In order to evaluate the effectiveness of the ICA, it has been tested on a system having a hydro plant with four-cascaded reservoir and a thermal plant. The results are compared with that obtained by other techniques. The ICA has the good convergence and the better results.
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Lin, Jun Lin, Chun Wei Cho, and Hung Chjh Chuan. "Imperialist Competitive Algorithms with Perturbed Moves for Global Optimization." Applied Mechanics and Materials 284-287 (January 2013): 3135–39. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3135.

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Imperialist Competitive Algorithm (ICA) is a new population-based evolutionary algorithm. Previous works have shown that ICA converges quickly but often to a local optimum. To overcome this problem, this work proposed two modifications to ICA: perturbed assimilation move and boundary bouncing. The proposed modifications were applied to ICA and tested using six well-known benchmark functions with 30 dimensions. The experimental results indicate that these two modifications significantly improve the performance of ICA on all six benchmark functions.
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Li, Xia, Junhan Chen, Lingfang Sun, and Jing Li. "A new imperialist competitive algorithm with spiral rising mechanism for solving path optimization problems." PeerJ Computer Science 8 (September 7, 2022): e1075. http://dx.doi.org/10.7717/peerj-cs.1075.

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Intelligent optimization algorithms have now become important means for solving global optimization problems. The imperialist competitive algorithm (ICA) is a nature-inspired meta-heuristic algorithm that imitates social behavior. ICA has been widely used in optimization problems, however, ICA tends to fall into a local optimal solution because of its fast convergence speed, which may lead to premature convergence when solving optimization problems. To solve these problems, a new improved ICA algorithm is proposed. Based on the original ICA algorithm, the theory of spiral rising is introduced
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Shirali, Nooshin, and Marjan Abdeyazdan. "An Imperialist Competitive Algorithm for Persian Text Segmentation." Ciência e Natura 37 (December 19, 2015): 247. http://dx.doi.org/10.5902/2179460x20780.

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Segmentation has been used in different natural language processing tasks, such as information retrieval and text summarization. In this paper a novel Persian text segmentation algorithm is proposed. Our proposed algorithm applies the imperialist competitive algorithm (ICA) to find the optimal topic boundaries. It is the first time that an evolutionary algorithm applies in Persian text segmentation. The experimental results show that proposed algorithm is more accurate than other Persian text segmentation algorithms.
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Ayrthon Senapati, I. G. N., Ida Bagus Gede Manuaba, and Rukmi Sari Hartati. "OPTIMISASI ECONOMIC DISPATCH PADA SISTEM KELISTRIKAN 150 kV BALI MENGGUNAKAN IMPERIALIST COMPETITIVE ALGORITHM." Jurnal SPEKTRUM 7, no. 3 (2020): 61. http://dx.doi.org/10.24843/spektrum.2020.v07.i03.p8.

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The purpose of the Economic Dispatch is to determine the distribution of each unit inproviding the requested load, so that the load demand can be met at the lowest possible cost takinginto account the limitations of the generator and available system. Commonly the researcher usesome methods to solve economic dispatch, such as Lagrange, Genetic Algorithm (GA), and othersoptimization methods. Latest Artificial Intelligent technology had invented the solution to solve theoptimization problem especially for economic dispatch, its named Imperialist Competitive Algorithm(ICA) which in this project,
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Yanuangga Gala Hartlambang, Machrus Ali, and Agus Raikhani. "Unjuk Kerja Metode Imperalistt Competitive Alghorithm (ICA)Dalam Mengoptimalkan Kecepatan Motor DC." Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan 6, no. 1 (2015): 52–67. http://dx.doi.org/10.48056/jintake.v6i1.80.

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Imperialist Competitive Algorithm (ICA) merupakan algoritma evolusioner yang terinspirasi dengan kompetisi kekuasaan (imperialist competitive). Algoritma optimasi ICA dikenalkan oleh Esmaeil Atashpaz dan pada tahun 2007. ICA mensimulasikan proses sosial politik dari imperialisme dan kompetisi kekuasaan. Pada Metode ICA ini, seperti algoritma evolusioner lainnya yaitu dengan dimulai dengan inisialisasi populasi awal. Setiap individu dari populasi disebut dengan negara (country). Beberapa negara terbaik dipilh sebagai negara penjajah dan sisanya membentuk koloni yang digunakan oleh penjajah. Neg
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Dissertations / Theses on the topic "Imperialist competitive algorithm (ICA)"

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Shahrazad, Mohammad. "Optimal allocation of FACTS devices in power networks using imperialist competitive algorithm (ICA)." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11445.

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Due to the high energy consumption demand and restrictions in the installation of new transmission lines, using Flexible AC Transmission System (FACTS) devices is inevitable. In power system analysis, transferring high-quality power is essential. In fact, one of the important factors that has a special role in terms of efficiency and operation is maximum power transfer capability. FACTS devices are used for controlling the voltage, stability, power flow and security of transmission lines. However, it is necessary to find the optimal location for these devices in power networks. Many optimizati
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Lee, Chau-Yuan, and 李朝源. "Improved Imperialist Competitive Algorithm." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/80416769582388100545.

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碩士<br>元智大學<br>資訊管理學系<br>99<br>Many nature-inspired optimization methods, such as Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization and Differential Evolution Algorithm have received much attention for the past few decades. These algorithms are based on computer simulation of biological activity. Recently, a new nature-inspired optimization method, called Imperialist Competition Algorithm (ICA), was proposed. ICA is based on the resource competition among colonial empires. This study modifies how colonies move in ICA to reduce the chance of falling into local optimum. Our
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Li, Chen-Chuan, and 李鎮全. "Applying Data Mining technology in Imperialist Competitive Algorithm for solving Traveling Salesman Problem." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/ejyf6h.

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碩士<br>元智大學<br>資訊管理學系<br>104<br>Evolutionary algorithms are often use to solve the combination problems. In recent years, researcher used heuristic algorithms to solve optimization problem. Most of the algorithms can achieve a good solution quality, but due to the combination of problems the complexity of solution is gradually increased, therefore, the evolution algorithm is likely to occur premature convergence or loss group of ethnic diversity. This study presents the DMICA (Applying Data Mining technology in Imperialist Competitive Algorithm). The concept of ICA (Imperial Competitive Algorit
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Shih-ChiehTsai and 蔡世傑. "Application of Enhanced Imperialist Competitive Algorithm to Capacitor Placement Considering Unbalanced Loads and Harmonics." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/00774905936223965008.

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碩士<br>國立成功大學<br>電機工程學系<br>102<br>In this thesis, an application of enhanced imperialist competitive algorithm is proposed to solve the capacitor placement in distribution systems with unbalanced loads and harmonics. Most power engineers currently made the capacitor placement decisions solely based on work experiences and technical standards; yet once under the scenarios of varying loads, unbalanced loads and harmonics, the placement of capacitor banks becomes more complicated and an approach to cope with this situation is crucially required. By characterizing the competition between imperialis
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Song, Jen-Chun, and 宋仁鈞. "An Improved Imperialist Competitive Algorithm to Solve the Dynamic Vehicle Routing Problem in Logistics Management." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/w98232.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>106<br>In today's fierce competitive environment, any enterprise considers increasing its profitability as main purpose. Apart from reducing production costs and increasing sales, the most important thing is to increase the efficiency of logistics. After the fourth industrial revolution, the construction and integration of the intelligent logistics system will be even more important. Therefore, companies must use efficient logistics networks to rapid respond customer’s requests. The concept of intelligent logistics is a new way of thinking to effectively dispatch veh
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Ciou, Ji-rong, and 邱繼榮. "Apply Improved Imperialist Competitive Algorithm to Solve the Capacitated Vehicle Routing Problem with Backhaul in Reverse Logistics Management." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/68666813909769977288.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>102<br>Enterprises want to make profits in the extremely competitive environment. In addition to expanding sales and reducing manufacturing cost, the efficiency of logistics management is also considered as the additional source of profit. Increasing efficiency of logistics becomes critical in the supply chain due to customer’s quick response requirements. This thesis focuses on the capacitated vehicle routing problem with backhaul (CVRPB) aiming at the shipments in pickup, delivery and go-back’s vehicle transporting distance minimally. The collective effort of CVRPB
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Wang, Yung-Hsien, and 王詠賢. "On the Study of Improved Imperialist Competitive Algorithm to Solve the Capacitated Vehicle Routing Problem in Logistics Management." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/82664986583860366231.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>101<br>Enterprises want to make profits in the extremely competitive environment. In addition to expanding sales and reducing manufacturing cost, the efficiency of logistics management is also considered as the additional source of profit. Increasing efficiency of logistics becomes critical in the supply chain due to customer’s quick response requirements. Therefore, lean logistics is considered a new thinking to decrease the number of the dispatched vehicles and reduce the fixed cost of the company. This thesis focuses on the vehicle routing problem with lean princi
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Book chapters on the topic "Imperialist competitive algorithm (ICA)"

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Lotfi, Shahriar, and Khalil Mowlani. "ICA-WSS: A QOS-Aware Imperialist Competitive Algorithm for Web Service Selection." In Informatics Engineering and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25483-3_11.

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Xing, Bo, and Wen-Jing Gao. "Imperialist Competitive Algorithm." In Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03404-1_15.

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Kaveh, A. "Imperialist Competitive Algorithm." In Advances in Metaheuristic Algorithms for Optimal Design of Structures. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05549-7_11.

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Kaveh, Ali, and Taha Bakhshpoori. "Imperialist Competitive Algorithm." In Metaheuristics: Outlines, MATLAB Codes and Examples. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04067-3_6.

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Kaveh, A. "Imperialist Competitive Algorithm." In Advances in Metaheuristic Algorithms for Optimal Design of Structures. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46173-1_11.

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Kaveh, Ali, and Hossein Yousefpoor. "Chaotic Imperialist Competitive Algorithm." In Chaotic Meta-heuristic Algorithms for Optimal Design of Structures. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-48918-1_9.

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Shahriari, Afshin, Farhad Rad, and Hamid Parvin. "Fault Localization by Imperialist Competitive Algorithm." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26181-2_38.

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Ramezani, Fatemeh, Shahriar Lotfi, and M. A. Soltani-Sarvestani. "A Hybrid Evolutionary Imperialist Competitive Algorithm (HEICA)." In Intelligent Information and Database Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28487-8_37.

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Javadzadeh, S., M. Ataee-pour, and V. Hosseinpour. "Modeling Optimum Mining Limits with Imperialist Competitive Algorithm." In Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection - MPES 2018. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99220-4_16.

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Wang, Shuaiqun, Aorigele, Jingyi Luo, and Shangce Gao. "Imperialist Competitive Algorithm with Trading Mechanism for Optimization." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45261-5_10.

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Conference papers on the topic "Imperialist competitive algorithm (ICA)"

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Ghaffari, Mahdi, and Hamed H. Aly. "Improvement of Microgrids Operation Considering Demand Response Using Imperialist Competitive Algorithm." In 2024 IEEE 12th International Conference on Smart Energy Grid Engineering (SEGE). IEEE, 2024. http://dx.doi.org/10.1109/sege62220.2024.10739547.

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Majid, Najla Ilyana Ab, Nik Noordini Nik Abd Malik, Nor Aini Zakaria, and Arnidza Ramli. "Performance Analysis of 3D Linear and Circular Array Optimized by Imperialist Competitive Algorithm." In 2024 IEEE International Conference on Advanced Telecommunication and Networking Technologies (ATNT). IEEE, 2024. http://dx.doi.org/10.1109/atnt61688.2024.10719272.

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Razavi, Farzad, and Beitollah Ghadiri. "Controlling the speed of induction motor using Imperialist Competitive Algorithm (ICA) based on FLC." In 2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE). IEEE, 2011. http://dx.doi.org/10.1109/iccaie.2011.6162128.

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Rismanbor, Mohammad, and Karim Faez. "A multiple target detection algorithm based on Imperialist Competitive Algorithm." In 2011 9th IEEE International Conference on Control and Automation (ICCA). IEEE, 2011. http://dx.doi.org/10.1109/icca.2011.6138008.

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Gazafroudi, Amin Shokri, Nooshin Bigdeli, Mostafa Yousefi Ramandi, and Karim Afshar. "A hybrid model for wind power prediction composed of ANN and imperialist competitive algorithm (ICA)." In 2014 22nd Iranian Conference on Electrical Engineering (ICEE). IEEE, 2014. http://dx.doi.org/10.1109/iraniancee.2014.6999606.

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Fitriyani, Nur, Sisca D. N. Nahdliyah, and Totok R. Biyanto. "Operational optimization of binary distillation column to achieve product quality using Imperialist Competitive Algorithm (ICA)." In 2016 6th International Annual Engineering Seminar (InAES). IEEE, 2016. http://dx.doi.org/10.1109/inaes.2016.7821917.

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Etesami, M. H., N. Farokhnia, and S. H. Fathi. "A method based on Imperialist Competitive Algorithm (ICA), aiming to mitigate harmonics in multilevel Inverters." In Technologies Conference (PEDSTC). IEEE, 2011. http://dx.doi.org/10.1109/pedstc.2011.5742441.

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Beltran Ricaurte, I. I. Brian, and Maria Isabel Londono Restrepo. "Production scheduling in flexible job shop scheduling using an Imperialist Competitive Algorithm (ICA) minimizing makespan." In 2015 10th Computing Colombian Conference (10CCC). IEEE, 2015. http://dx.doi.org/10.1109/columbiancc.2015.7333449.

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Maroufmashat, Azadeh, Farid Sayedin, and Sourena Sattari. "Multi Objective Optimization of Direct Coupling Photovoltaic-Electrolyzer Systems Using Imperialist Competitive Algorithm." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-39765.

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Photovoltaic-electrolyzer systems are one of the most promising alternatives for obtaining hydrogen from a renewable energy source. Determining size and the operational conditions are always a key issue while coupling directly renewable electricity sources to PEM electrolyzer. In this research, the multi objective optimization approach based on an imperialist competitive algorithm (ICA), which is employed to optimize the size and the operating conditions of a directly coupled photovoltaic (PV)-PEM electrolyzer. This allows the optimization of the system by considering two different objectives,
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Abhishek, Kumar, Saurav Datta, Manoj Masanta, and Siba Sankar Mahapatra. "Fuzzy embedded imperialist competitive algorithm (ICA) for multi-response optimization during machining of CFRP (Epoxy) composites." In 2017 International Conference on Advances in Mechanical, Industrial, Automation and Management Systems (AMIAMS). IEEE, 2017. http://dx.doi.org/10.1109/amiams.2017.8069196.

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