Search Results - ((detection algorithm) OR (((generation algorithm) OR (genetic algorithm))))

Improving intrusion detection using genetic algorithm by Hashemi, V. Moraveji, Muda, Zaiton, Yassin, Warusia

“…To overcome this problem, a genetic algorithm approach is proposed. Genetic Algorithm (GA) is most frequently employed as a robust technology based on machine learning for designing IDS. …”
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Mobile robot path planning using hybrid genetic algorithm and traversability vectors method by Loo, C.K., Rajeswari, M., Wong, E.K., RaoTask, M.V.C.

“…Recent advances in robotics and machine intelligence have led to the application of modern optimization method such as the genetic algorithm (GA), to solve the path-planning problem. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat by Sakamat, Norzehan

“…Modifications of K-Means structures were done by inserting genetic algorithm operators and tuning the population. …”
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FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems by Alansi, M., Elshafiey, I., Al-Sanie, A., Mabrouk, A.

“…In this paper, an adaptive Genetic Algorithm-based tool for SDMA-OFDM Systems (GASOS) is developed to improve the performance and computational complexity in cases of fully-loaded and overloaded multi-user scenarios. …”
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An improved method using fuzzy system based on hybrid boahs for phishing attack detection by Noor Syahirah, Nordin

“…The algorithms involved were Genetic Algorithm, Differential Evolution Algorithm, Particle Swarm Optimization, Butterfly Optimization Algorithm, Teaching-Learning-Based Optimization Algorithm, Harmony Search Algorithm and Gravitational Search Algorithm. …”
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Artificial Intelligence Application in Power Generation Industry: Initial considerations by Ismail R.I.B., Ismail Alnaimi F.B., Al-Qrimli H.F.

“…Artificial intelligence; Competition; Condition monitoring; Genetic algorithms; Iterative methods; Neural networks; Problem solving; Fault detection and diagnosis; Faults detection; Intelligent condition monitoring; Mitigation measures; Nonlinear iterations; Plant operations; Power generation industries; Problem-solving abilities; Fault detection; artificial intelligence; artificial neural network; competitiveness; genetic algorithm; industrial technology; monitoring system; power generation; power plant…”

An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition by Moayad, Yousif Potrus, Ngah, Umi Kalthum, Bestoun S. , Ahmed

“…This paper highlights a novel strategy for online Arabic text recognition using a hybrid Genetic Algorithm (GA) and Harmony Search algorithm (HS). …”
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Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.] by Mazani, Muhammad Naim, Abdul-Rahman, Shuzlina, Mutalib, Sofianita

Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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Metacarpal phantom radiograph edge detection using genetic algorithm gradient based genotype / Norharyati Md Ariff by Md Ariff, Norharyati

“…Genetic algorithms have several steps. For the initial population, 200 pixels will be taken to be the initial population in randomly. …”
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CS-FuzGA-PTS: Maximizing fault detection through optimizing t-way test suite prioritization based on boundary value analysis by Abdullah, Nasser, Kader, Md Abdul, Alsewari, Abdulrahman A., Suliman, Mohamed Fati, Abdullah, Nibras, Diaba, Sayawu Yakubu, Jabbar, Waheb A.

“…This research addresses this need by proposing and implementing a new testing strategy called Cuckoo Search with Adaptive Fuzzy Logic-Controlled Genetic Algorithm Operators for Generating PTS (CS-FuzGA-PTS). …”
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On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

“…Recently, in line with the upcoming field called Search based Software Engineering (SBSE), many newly strategies have been developed adopting specific optimization algorithm (e.g. Genetic Algorithm (GA), Ant Colony (AC), Simulated Annealling (SA), Particle Swarm Optimization, and Harmony Search Algorithm (HS) as their basis in an effort to generate the most optimal solution. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

“…Therefore, we propose a prominent approach that integrates each of the NN, a meta-heuristic based on an evolutionary genetic algorithm (GA), and a core online-offline clustering (Core). …”
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Hybrid genetic algorithm for improving fault localization by Mahamad Zakaria, Muhammad Luqman, Sharif, Khaironi Yatim, Abd Ghani, Abdul Azim, Koh, Tieng Wei, Zulzalil, Hazura

“…Therefore, there is a need for a technique which able to localize a fault effectively with less number of mutants generated. Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm by Mohammed Abdullah, Abdullah Nasser

“…In line with the emerging field called Search based Software Engineering, many recently developed t-way strategies have adopted meta-heuristic algorithms as the basis of their implementations such as Simulated Annealing, Genetic Algorithm, Ant Colony Optimization Algorithm, Particle Swarm Optimization, Harmony Search and Cuckoo Search, owing their superior performance in term of test size reduction as compared to general computational based strategies, such as General t-way, Test Vector Generator, In Parameter Order General, Jenny, and Automatic Efficient Test Generator. …”
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah by Salmah , Fattah

“…The method adapts the original Non-Dominated Sorting Genetic Algorithm II (NSGA-II) by introducing a hybridisation of adaptive multi-parent crossover genetic algorithm and fuzzy dominance-based decomposition techniques. …”
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks by Salmah Fattah

“…The method adapts the original Non-Dominated Sorting Genetic Algorithm II (NSGA-II) by introducing a hybridisation of adaptive multi-parent crossover genetic algorithm and fuzzy dominance-based decomposition techniques. …”
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Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network by Ismail Abdullah, Kalid Abdlkader Marsal

Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman by Ab Rahman, Lily Syahira Sabrina

Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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Adopting genetic algorithm to enhance state-sensitivity partitioning by Sultan, Ammar Mohammed, Baharom, Salmi, Abd Ghani, Abdul Azim, Din, Jamilah, Zulzalil, Hazura

“…Genetic algorithm (GA) has been identified as the most common potential technique among several optimization techniques. …”
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Adopting genetic algorithm to enhance state-sensitivity partitioning by Mohammed Sultan, Ammar, Baharom, Salmi, Abd Ghani, Abdul Azim, Din, Jamilah, Zulzalil, Hazura

“…Genetic algorithm (GA) has been identified as the most common potential technique among several optimization techniques.Thus, GA is investigated for the integrating with the existing SSP. …”
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