Search Results - (( _ evaluation case algorithm ) OR ( its application based algorithm ))

Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

“…However, the HKA algorithm has its own flaws. Although it was introduced as a population-based stochastic optimization algorithm, HKA is not exactly a population-based algorithm because it initializes and updates only a single solution. …”
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LCSS-Based Algorithm for Computing Multivariate Data Set Similarity: A Case Study of Real-Time WSN Data by Khan, Rahim, Ali, Ihsan, Altowaijri, Saleh, Zakarya, Muhammad, Rahman, Atiq Ur, Ahmedy, Ismail, Khan, Anwar, Gani, Abdullah

“…Several non-metric-based algorithms are available in the literature, the most robust and reliable one is the dynamic programming-based technique. …”
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Dynamic Probability Selection for Flower Pollination Algorithm based on Metropolis-hastings Criteria by Zamli, Kamal Zuhairi, Din, Fakhrud, Nasser, Abdullah, Ramli, Nazirah, Mohamed, Noraini

“…Flower Pollination Algorithm (FPA) is a relatively new meta-heuristic algorithm that adopts its metaphor from the proliferation role of flowers in plants. …”
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Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh by Salam, Md. Abdus, Huda, M. Mamun, Khan, Md. Gulam Musawwir, Shomik, Mohammad Sohel, Mondal, Dinesh

“…Evidence-based diagnostic algorithm is highly recommended for the visceral leishmaniasis (VL). …”
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Pairwise Test Data Generation based on Flower Pollination Algorithm by Nasser, Abdullah B., Alsewari, Abdulrahman A., Tairan, Nasser M., Kamal Z., Zamli

“…Recently, many existing works are focusing on the use of Search-Based algorithms as the basis of the implementation algorithm; however, there is no single strategy that can be the best for all cases. …”
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Dynamic probability selection for flower pollination algorithm based on metropolis-hastings criteria by Zamli, Kamal Zuhairi, Din, Fakhrud, Nasser, Abdullah, Ramli, Nazirah, Mohamed, Noraini

“…Flower Pollination Algorithm (FPA) is a relatively new meta-heuristic algorithm that adopts its metaphor from the proliferation role of flowers in plants. …”
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The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation by Hamizan, Sharbini, Roselina, Sallehuddin, Habibollah, Haron

“…The performance of the new hybrid optimization algorithm is verified using standard classical test function and further evaluated with other four renowned optimization algorithms and the results showed that it is better in most cases compared with the existing algorithms. …”
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An Adaptive Fuzzy Symbiotic Organisms Search Algorithm and Its Applications by Nurul Asyikin, Zainal, Azad, Saiful, Kamal Z., Zamli

“…To validate its performance, we have evaluated FSOS to solve 23 benchmark functions and take a t-way test generation as our case study. …”
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Hybrid moth flame optimization mppt algorithm for accurate real-time tracking under partially shaded photovoltaic system by Tiong, Meng Chung

“…However, the high computational power of PSO becomes a disadvantage in real-time and highly dynamic MPPT application. In addition, with the continuous improvement effort and the possibility of a new-comer algorithm can show superior results on the current problem, a new MFO based MPPT algorithm was proposed. …”
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Comparative analysis of sine cosine and social network search-based algorithm for software test redundancy reduction optimization by Mekeng, Ambros Magnus Rudolf, Kamal Z., Zamli, Muhammad Zarlis, .

“…Addressing this issue as an optimization problem, many existing works adopts metaheuristic algorithms to eliminate redundancy. Acknowledging the fact that no single metaheuristic algorithm is superior than its counterparts as well as taking the opportunity to adopt recent algorithm, our work present a comparative study (i.e., solving the TRR problem) using two recently developed metaheuristic algorithms namely the Social Network Search Algorithm (SNS) and the Sine Cosine Algorithm (SCA). …”
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Non-Distortion-Specific No-Reference Image Quality Assessment:A Survey by Abdul Manap, Redzuan, Shao, Ling

“…Over the last two decades,there has been a surge of interest in the research of image quality assessment due to its wide applicability to many domains.In general,the aim of image quality assessment algorithms is to evaluate the perceptual quality of an image using an objective index which should be highly consistent with the human subjective index.The objective image quality assessment algorithms can be classified into three main classes: full-reference,reduced-reference,and no-reference.While full-reference and reduced-reference algorithms require full information or partial information of the reference image respectively,no reference information is required for no-reference algorithms.Consequently,a no-reference (or blind) image quality assessment algorithm is highly preferred in cases where the availability of any reference information is implausible.In this paper,a survey of the recent no-reference image quality algorithms,specifically for non-distortion-specific cases,is provided in the first half of this paper.Two major approaches in designing the non-distortion-specific no-reference algorithms,namely natural scene statistics-based and learning-based,are studied.In the second half of this paper,their performance and limitations are discussed before current research trends addressing the limitations are presented.Finally,possible future research directions are proposed towards the end of this paper.…”
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Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation by Nasser, Abdullah B., Abdul-Qawy, Antar S. H., Abdullah, Nibras, Hujainah, Fadhl, Kamal Z., Zamli, Ghanem, Waheed A. H. M.

“…Particle Swarm Optimization, Genetic Algorithm, Ant Colony Algorithm, Harmony Search, Jaya Algorithm and Cuckoo Search). …”
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Quality of service management algorithms in WiMAX networks by Saidu, Ibrahim

“…Simulation have been extensively used to evaluate the proposed algorithm. Finally, Discrete Event Simulator (DES) is designed and developed in order to evaluate the performance of the proposed algorithms. …”
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A novel N-input voting algorithm for X-by-wire fault-tolerant systems by Karimi, Abbas, Zarafshan, Faraneh, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Ramli, Abdul Rahman

“…The results of analyzed evaluations through plots and statistical computations have demonstrated that this novel algorithm does not have the limitations of some popular voting algorithms such as median and weighted; moreover, it is able to significantly increase the reliability and availability of the system in the best case to 2489.7% and 626.74%, respectively, and in the worst case to 3.84% and 1.55%, respectively.…”
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A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm by Mohd Annuar, Khalil Azha, Selamat, Nur Asmiza, Jaafar, Hazriq Izzuan, Mohamad, Syahrul Hisham

“…A case study taken from database, provided by Le2i Universite de Bourgoune is used to evaluate the performance of the Bat Algorithm. …”
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Application of Bat Algorithm and Its Modified Form Trained with ANN in Channel Equalization by Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Sukant Kishoro Bisoy, Sandeep Kautish, Muzaffar Hamzah, Muhammed Basheer Jasser, Ali Wagdy Mohamed

“…Experimental and statistical analyses show that, in comparison with the bat as well as variants of the bat and state-of-the-art algorithms, the proposed algorithm substantially outperforms them significantly, based on MSE and BER.…”
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Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau by Tan , Chee Hau

“…Four cases studies have investigated this research whereby case study-1 is to evaluate the most suitable position and orientation of a new machine to be placed in an existing production floor, case study-2 is to maximize the area given and further maximize the productivity by optimizing the production sequence, case study-3 is about identifying the best position of a shared facility whereas the case study-4 identified the most effective production sequence in a robotic conveyor cell. …”
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A regression test case selection and prioritization for object-oriented programs using dependency graph and genetic algorithm by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

“…This paper presents an evolutionary regression test case prioritization for object-oriented software based on dependence graph model analysis of the affected program using Genetic Algorithm. …”
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Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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