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Quantum Processing Framework And Hybrid Algorithms For Routing Problems by Soltan Aghaei, Mohammad Reza

“…These quantum algorithms can be applied to solve routing problem in the quantum networks and the quantum multicomputer. …”
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A hybrid algorithm for finding shortest path in network routing. by Soltan Aghaei, Mohammad Reza, Ahmad Zulkarnain, Zuriati, Mamat, Ali, Zainuddin, Hishamuddin

“…This wave gives an O( N ) steps quantum algorithm for identifying that record, where was used classical Dijkstra’s algorithm for finding shortest path problem in the graph of network and implement quantum search. …”
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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

“…The multiobjective set covering model is used by including some real-world restrictions to find number of buses and drivers as it can represent the problem clearly for implementation. …”
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Some greedy based algorithms for multi periods degree constrained minimum spanning tree problem by Wamiliana, Wamiliana, Elfaki, Faiz Ahmed Mohamed, Usman, Mustofa, Azram, Mohammad

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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem by Lee, Wei Wen, Hashim, Mohd Ruzaini

“…Despite these advantages, the basic ABC algorithm has some drawbacks such as slow convergence, poor exploitation, and difficulty in finding the best solution among all feasible solutions in some cases. …”
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul by Tom´As, Maul

“…As each level is traversed, a biological plausibility argument is gradually strengthened. At the algorithmic level, several approaches for solving the pose estimation problem are compared in terms of their neural implementability. …”
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Comparison of Some Numerical Methods for Solving Real-Life Nonlinear Equations by Using Python Programming / Annie Gorgey ... [et al.] by Gorgey, Annie, Zulkifly, Zul Hafiezy, Hassim, Haslinah, Azim, Farah Adilla

“…The accuracy of these methods is tested numerically on some real-life nonlinear equations such as the fluid permeability problem, the blood rheology model, Van Der Wall’s and Planck’s radiation laws, and lastly, the beam design problem. …”
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Three-term backpropagation algorithm for classification problem by Saman, Fadhlina Izzah

“…Despite the general success of this algorithm, there are several drawbacks and limitations which some of them are the existence of local minima, slow rates of convergence and some of the modification of BP algorithm requires complex and costly calculations at each iteration, which offset their faster rates of convergence. …”
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Attribute related methods for improvement of ID3 Algorithm in classification of data: A review by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…Decision tree is an important method in data mining to solve the classification problems. There are several learning algorithms to implement the decision tree but the most commonly-used is ID3 algorithm. …”
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Enhanced Clustering Algorithms For Gray-Scale Image Segmentation by Siddiqui, Fasahat Ullah

“…However, in some cases the conventional clustering algorithms introduce over-segmentation problems and unable to preserve the region of interest (i.e. objects).…”
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Implementation of an autonomous mobile robot navigation algorithm using C language by Subra Mullisi, Shafeq Marwan

“…The objective of the project is to develop navigation algorithm for the autonomous mobile robot. After that, implement the navigation algorithm on the mobile robot and without using the external sensor for navigation of the mobile robot to reach the specified point. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja by Nurul Hani , Nortaja

“…Nonetheless, the A • algorithm do have some unique properties which is more efficient in finding the shortest path especially in human real-world problem. …”
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A quantum algorithm for minimal spanning tree by Aghaei, Mohammad Reza Soltan, Ahmad Zukarnain, Zuriati, Mamat, Ali, Zainuddin, Hishamuddin

“…Classical algorithms involve searching over some space for finding the minimal spanning tree problem in a graph. …”
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Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer by Noor Zaihah, Jamal, Mohd Herwan, Sulaiman, Omar, Aliman, Zuriani, Mustaffa

“…Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problems. …”
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Towards implementing reactive scheduling for job shop problem by Zakaria, Zalmiyah, Deris, Safaai

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VITILIGO LESION ASSESSMENT TOOL ON SMARTPHONE by BORETSKAYA, VIKTORIYA

“…For example in England, there are eight million people having skin disorder problems [16]. The effectiveness of a treatment depends on the type of the skin disorder, as some disorders can be easily managed by creams and ointments and some need long-term treatments. …”
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Ant Colony Optimization for Solving Solid Waste Collection Scheduling Problems by Ismail, Zuhaimy, Loh, Ser Lee

“…Formulating this real life problem into vehicle routing problem with stochastic demand model and using some designed algorithms to minimize operation cost of solid waste management. …”
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Ant colony optimization for solving solid waste collection scheduling problems by Ismail, Zuhaimy, Loh, S. L.

“…Formulating this real life problem into vehicle routing problem with stochastic demand model and using some designed algorithms to minimize operation cost of solid waste management. …”
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Solving Examination Timetabling Problem using Partial Exam Assignment with Great Deluge Algorithm by Ashis Kumar, Mandal, M. N. M., Kahar

“…Experimental results indicate that in all problem instances, this proposed method outperforms traditional great deluge algorithm and when comparing with the state-of-the-art approaches, our approach produces competitive solution for all instances, with some cases outperform other reported result.…”
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Workability review of genetic algorithm approach in networks by Nurika, O., Zakaria, N., Hassan, F., Jung, L.T.

“…In some cases, it even outperforms other methods. However, the choice of genetic algorithm might be influenced by some concerns, such as execution time and problem size. …”
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