Relevant bibliographies by topics / Enhanced Great Deluge Algorithm

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Academic literature on the topic 'Enhanced Great Deluge Algorithm'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Enhanced Great Deluge Algorithm"

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Dr.K.Lenin. "MINIMIZATION OF REAL POWER LOSS BY ENHANCED GREAT DELUGE ALGORITHM." International Journal of Research - Granthaalayah 5, no. 8 (2017): 207–16. https://doi.org/10.5281/zenodo.886353.

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This paper presents Enhanced Great Deluge Algorithm (EDA) for solving reactive power problem. Alike other local exploration methods, this Enhanced Great Deluge Algorithm (EDA) also swap general solution (fresh_Config) with most excellent results (most excellent_Config) that have been found by then. This deed prolong until stop conditions is offered. In this algorithm, new solutions are selected from neighbours. Selection strategy is different from other approaches. In order to evaluate validity of the proposed Enhanced Great Deluge Algorithm (EDA) algorithm, it has been tested on standard IEEE
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Lenin, K. "MINIMIZATION OF REAL POWER LOSS BY ENHANCED GREAT DELUGE ALGORITHM." International Journal of Research -GRANTHAALAYAH 5, no. 8 (2017): 207–16. http://dx.doi.org/10.29121/granthaalayah.v5.i8.2017.2215.

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This paper presents Enhanced Great Deluge Algorithm (EDA) for solving reactive power problem. Alike other local exploration methods, this Enhanced Great Deluge Algorithm (EDA) also swap general solution (fresh_Config) with most excellent results (most excellent_Config) that have been found by then. This deed prolong until stop conditions is offered. In this algorithm, new solutions are selected from neighbours. Selection strategy is different from other approaches. In order to evaluate validity of the proposed Enhanced Great Deluge Algorithm (EDA) algorithm, it has been tested on standard IEEE
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Mutasem, Khalil Alsmadi, Alzaqebah Malek, Jawarneh Sana, et al. "Cuckoo algorithm with great deluge local-search for feature selection problems." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 4 (2022): 4315–26. https://doi.org/10.11591/ijece.v12i4.pp4315-4326.

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Feature selection problem is concerned with searching in a dataset for a set of features aiming to reduce the training time and enhance the accuracy of a classification method. Therefore, feature selection algorithms are proposed to choose important features from large and complex datasets. The cuckoo search (CS) algorithm is a type of natural-inspired optimization algorithms and is widely implemented to find the optimum solution for a specified problem. In this work, the cuckoo search algorithm is hybridized with a local search algorithm to find a satisfactory solution for the problem of feat
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Ahmad, Muklason, Tendio Yusnardo, Angelita Depari Helena, Arif Nuriman Muhammad, and Gusti Agung Premananda I. "The performance analysis of hyper-heuristics algorithms over examination timetabling problems." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 2155–64. https://doi.org/10.11591/ijai.v13.i2.pp2155-2164.

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In general, uncapacitated exam timetabling is conducted manually, which can be time-consuming. Many studies aim to automate and optimize uncapacitated exam timetabling. However, pinpointing the most efficient algorithm is challenging since most studies assert that their algorithms surpass previousones. To identify the optimal algorithm, this research evaluates the performance off our algorithms: Hill climbing (HC), simulated annealing (SA), great deluge (GD), and tabu search (TS) in addressing the exam timetabling problem. The Kempechain operator’s influence on optimization solutions is
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Muklason, Ahmad, Yusnardo Tendio, Helena Angelita Depari, Muhammad Arif Nuriman, and I. Gusti Agung Premananda. "The performance analysis of hyper-heuristics algorithms over examination timetabling problems." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 2155. http://dx.doi.org/10.11591/ijai.v13.i2.pp2155-2164.

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In general, uncapacitated exam timetabling is conducted manually, which can be time-consuming. Many studies aim to automate and optimize uncapacitated exam timetabling. However, pinpointing the most efficient algorithm is challenging since most studies assert that their algorithms surpass previous ones. To identify the optimal algorithm, this research evaluates the performance of four algorithms: Hill climbing (HC), simulated annealing (SA), great deluge (GD), and tabu search (TS) in addressing the exam timetabling problem. The Kempe chain operator’s influence on optimization solutions is also
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Almufti, Saman M. "Fusion of Water Evaporation Optimization and Great Deluge: A Dynamic Approach for Benchmark Function Solving." Fusion: Practice and Applications 13, no. 1 (2023): 19–36. http://dx.doi.org/10.54216/fpa.130102.

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The Water Evaporation Optimization - Great Deluge explores the synergy between the Water Evaporation Optimization Algorithm (WEOA) and the Great Deluge Algorithm (GDA) to create a novel fusion model. This research investigates the efficacy of combining these two powerful optimization techniques in addressing benchmark problems. The fusion model incorporates WEOA's dynamic exploration-exploitation dynamics and GDA's global search capabilities. By merging their strengths, the fusion model seeks to enhance convergence efficiency and solution quality. The study presents an experimental analysis of
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Baykasoglu, Adil. "Design optimization with chaos embedded great deluge algorithm." Applied Soft Computing 12, no. 3 (2012): 1055–67. http://dx.doi.org/10.1016/j.asoc.2011.11.018.

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RAVI, VADLAMANI. "OPTIMIZATION OF COMPLEX SYSTEM RELIABILITY BY A MODIFIED GREAT DELUGE ALGORITHM." Asia-Pacific Journal of Operational Research 21, no. 04 (2004): 487–97. http://dx.doi.org/10.1142/s0217595904000357.

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In this paper, a global optimization meta-heuristic, the great deluge algorithm, is extended and applied to optimize the reliability of complex systems. Two different kinds of optimization problems (i) Reliability optimization of a complex system with constraints on cost and weight (ii) Optimal redundancy allocation in a multi-stage mixed system with constraints on cost and weight are solved to demonstrate the effectiveness of the algorithm. A software developed in ANSI C, implements the algorithm. In terms of both accuracy and speed, it is observed that the present algorithm, the modified gre
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Acan, Adnan, and Ahmet Ünveren. "Multiobjective great deluge algorithm with two-stage archive support." Engineering Applications of Artificial Intelligence 87 (January 2020): 103239. http://dx.doi.org/10.1016/j.engappai.2019.103239.

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Ahmed, Nisreen L. "ACO powered by Local Searches Algorithms for the Solution of TSP Problems." Qubahan Academic Journal 1, no. 1 (2020): 1–10. http://dx.doi.org/10.48161/qaj.v1n1a5.

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 Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and other animals. Ants, in particular, have inspired a number of methods and techniques among which the most studied and successful is the general-purpose optimization technique, also known as ant colony optimization, In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. Ant Colony Optimization (ACO) algor
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Dissertations / Theses on the topic "Enhanced Great Deluge Algorithm"

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Chammas, Kristoffer, and Simon Sirak. "An Evaluation of the Great Deluge Algorithm in Course Timetabling : As Applied to the KTH-Inspired University Course Timetabling Problem." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259907.

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The University Course Timetabling Problem (UCTP) can be loosely described as assigning events (e.g lectures) to rooms and timeslots in a way that results in a feasible timetable that is optimal according to some custom criteria. The problem has become increasingly relevant as more programs become available in universities. Due to the complexity of UCTP, the problem is usually solved approximately using heuristics. The KTH-inspired UCTP is a variant of the UCTP that is adapted to KTH Royal Institute of Technology. However, few heuristics have been implemented for this variant of UCTP. Therefore
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Chen, Guo-Ching, and 陳國清. "Applications of Great Deluge Algorithm and Record to Record Travel Methods to Vehicle Routing Problem." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/55896625333254558721.

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碩士<br>國立交通大學<br>交通運輸研究所<br>86<br>GDA與RRT啟發式解法在VRP問題上之應用研 究 生 ：陳國清 指導教授：韓復華國立交 通大學交通運輸研究所摘　要大洪水法(Great Deluge Algorithm, GDA) 與記錄更新法(Record to Record Travel, RRT)是Dueck在1993年發表的 新啟發式解題架構。兩種方法主要是由門檻接受法(ThresholdAccepting, TA)演變而來﹐為具有跳離局部最佳解(Local Optimum)機制的演算法。 GDA與RRT方法在國內外皆尚未應用於求解車輛路問題(Vehicle Routing Problem, VRP)上﹐本研究首度應用求解VRP問題﹐探討兩種方法之適用性 及解題績效。本研究根據GDA和RRT方法之解題概念並與傳統啟發式解發結 合後設計了求解之執行架構﹐並對所選擇之11題例題進行初步測試﹐結果 發現
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Book chapters on the topic "Enhanced Great Deluge Algorithm"

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Abdullah, Salwani, and Najmeh Sadat Jaddi. "Great Deluge Algorithm for Rough Set Attribute Reduction." In Database Theory and Application, Bio-Science and Bio-Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17622-7_19.

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Mafarja, Majdi, and Salwani Abdullah. "Fuzzy Modified Great Deluge Algorithm for Attribute Reduction." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07692-8_19.

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Jaddi, Najmeh Sadat, and Salwani Abdullah. "An Interactive Rough Set Attribute Reduction Using Great Deluge Algorithm." In Advances in Visual Informatics. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02958-0_27.

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Ravi, Vadlamani. "Modified Great Deluge Algorithm versus Other Metaheuristics in Reliability Optimization." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-37372-8_2.

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Paterson, James, and Beatrice Ombuki-Berman. "Optimizing Scale-Free Network Robustness with the Great Deluge Algorithm." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92058-0_42.

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McMullan, Paul. "An Extended Implementation of the Great Deluge Algorithm for Course Timetabling." In Computational Science – ICCS 2007. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72584-8_71.

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"A New Hybrid Algorithm for Optimization Using Particle Swarm Optimization and Great Deluge Algorithm." In International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011). ASME Press, 2011. http://dx.doi.org/10.1115/1.859933.paper167.

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Cheung, Bernard K. S. "Genetic Algorithm and Other Meta-Heuristics." In Successful Strategies in Supply Chain Management. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-303-6.ch007.

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Genetic algorithms have been applied in solving various types of large-scale, NP-hard optimization problems. Many researchers have been investigating its global convergence properties using Schema Theory, Markov Chain, etc. A more realistic approach, however, is to estimate the probability of success in finding the global optimal solution within a prescribed number of generations under some function landscapes. Further investigation reveals that its inherent weaknesses that affect its performance can be remedied, while its efficiency can be significantly enhanced through the design of an adapt
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Zhou, Jingshan. "Low-Illumination Power Line Foreign Object Detection Based on Enhanced YOLOv5." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240065.

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Foreign objects on power lines especially on high-voltage power lines can threaten transmission safety. Therefore inspection of power lines is very important. In the inspection process, people often face low-illumination situations, which could cause great difficulties in the inspection. In this paper, I conducted this study to use the improved Retinex based on HSV color space for image enhancement and then use the improved YOLOv5 with SimAM attention mechanisms for power line foreign object detection. Evaluation of the algorithm through multiple datasets shows that the algorithm can effective
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Kesavan, Sujatha, Kalaivani Anbarasan, Tamilselvi Chandrasekharan, et al. "Enhanced Machine Learning Techniques for Pest Control and Leaf Disease Identification." In Future Farming: Advancing Agriculture with Artificial Intelligence. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815124729123010004.

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The agricultural sector has become an important income source for our country. In terms of nutrient absorption, plant diseases affecting the agricultural yield are creating a great hazard. In agriculture, recognizing infectious plants seems challenging due to the premise of the needed infrastructure. To prevent the spread of diseases, the identification of infectious leaves in the plant is observed to be a necessary step. This work aims to propose a machine learning technique on the ANN method for plant diseases identification and classification. This paper proposes a novel hybrid algorithm, c
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Conference papers on the topic "Enhanced Great Deluge Algorithm"

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Loke, Zi Xuan, Say Leng Goh, James Mountstephens, and Jonathan Likoh. "A Great Deluge Algorithm for University Course Timetabling." In 2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS). IEEE, 2023. http://dx.doi.org/10.1109/i2cacis57635.2023.10193339.

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Mandal, Ashis Kumar, and M. N. M. Kahar. "Solving examination timetabling problem using partial exam assignment with great deluge algorithm." In 2015 International Conference on Computer, Communications, and Control Technology (I4CT). IEEE, 2015. http://dx.doi.org/10.1109/i4ct.2015.7219635.

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Yun, Hansang, and Byung-Ro Moon. "An efficient approximation to the barrier tree using the great deluge algorithm." In GECCO '18: Genetic and Evolutionary Computation Conference. ACM, 2018. http://dx.doi.org/10.1145/3205651.3205715.

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Sonich, Olga, and Ilya Hodashinsky. "Optimization of fuzzy systems parameters based on the “Great Deluge” algorithm." In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2015. http://dx.doi.org/10.1109/fuzz-ieee.2015.7338047.

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Abuhamdah, Anmar, and Masri Ayob. "Hybridization Multi-NeighbourhoodParticle Collision Algorithm and Great Deluge for solving course timetabling problems." In 2009 2nd Conference on Data Mining and Optimization. IEEE, 2009. http://dx.doi.org/10.1109/dmo.2009.5341900.

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Zaag, Mahdi, and Ruxandra M. Botez. "Cessna Citation X Engine Model Identification and Validation in the Cruise Regime from Flight Tests based on Neural Networks combined with Extended Great Deluge Algorithm." In AIAA Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-1941.

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Ashena, Rahman, Ali Ghalambor, Mahmood Bataee, and Vinesh Thiruvelcham. "A Workflow for Circulation Rate Optimization to Exploit Enhanced Geothermal System Productivity." In SPE International Conference and Exhibition on Formation Damage Control. SPE, 2024. http://dx.doi.org/10.2118/217923-ms.

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Abstract To ascertain sustainability of geothermal productions in an Enhanced Geothermal System (EGS), several important design parameters must be optimized. One of the important design parameters is the circulation rate to maximize thermal productivity. Optimization of this parameter is of great practical interest, but it is not adequately discussed in the available literature and thus further research is required with clear criteria set as shown in the outcome of this paper. This research work follows an innovative simulation model construction and benchmarking with a case of a reservoir wit
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Abdallah, Wael, Ahmed AlZoukani, Mohammed Al Hamad, and Shouxiang Ma. "Fit-For-Purpose Model for Dielectric Data Interpretation for Enhanced Formation Evaluation." In Middle East Oil, Gas and Geosciences Show. SPE, 2023. http://dx.doi.org/10.2118/213414-ms.

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Abstract Great progress in technology development of dielectric logging has been made in the last decade, mainly by establishing the capability of multi-frequency measurements for more robust determination of near wellbore water-filled porosity and flush zone resistivity, in addition in providing the potential of characterizing reservoir petrophysical properties such as rock tortuosity. To interpret acquired dielectric data, several models have been developed and used in the industry. The objective of this laboratory study was to evaluate the commonly used models, identify conditions under whi
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Dalkiliç, Ahmet Selim, Ali Celen, Mohamed M. Awad, and Somchai Wongwises. "A Critical Review on the Determination of Pressure Drop During Condensation in Smooth and Enhanced Tubes." In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17567.

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Heat exchangers using in-tube condensation have great significance in the refrigeration, automotive and process industries. Effective heat exchangers have been rapidly developed due to the demand for more compact systems, higher energy efficiency, lower material costs and other economic incentives. Enhanced surfaces, displaced enhancement devices, swirl-flow devices and surface tension devices improve the heat transfer coefficients in these heat exchangers. This study is a critical review on the determination of the condensation heat transfer coefficient of pure refrigerants flowing in vertica
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Dalkiliç, Ahmet Selim, Ali Celen, Mohamed M. Awad, and Somchai Wongwises. "A Critical Review on the Determination of Convective Heat Transfer Coefficient During Condensation in Smooth and Enhanced Tubes." In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17565.

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Heat exchangers using in-tube condensation have great significance in the refrigeration, automotive and process industries. Effective heat exchangers have been rapidly developed due to the demand for more compact systems, higher energy efficiency, lower material costs and other economic incentives. Enhanced surfaces, displaced enhancement devices, swirl-flow devices and surface tension devices improve the heat transfer coefficients in these heat exchangers. This study is a critical review on the determination of the condensation heat transfer coefficient of pure refrigerants flowing in vertica
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