بدائل البحث:
function algorithm » auction algorithm (توسيع البحث)
section algorithm » auction algorithm (توسيع البحث)
function algorithm » auction algorithm (توسيع البحث)
section algorithm » auction algorithm (توسيع البحث)
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Economic load dispatch using memetic sine cosine algorithm
منشور في 2022"…The proposed hybrid algorithm is abbreviated as SCA-βHC which is evaluated using two sets of real-world generation cases: (i) 3-units, two versions of 13-units, and 40-units, with neglected Ramp Rate Limits and Prohibited Operating Zones constraints. …"
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83
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84
Detection of statistically significant network changes in complex biological networks
منشور في 2017"…The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …"
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85
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
منشور في 2022"…However, unsupervised data mining techniques are reliable in detecting fraud before they happen. For the research, I found out the importance of data mining in detecting fraud in procurement. …"
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86
Mobile robots obstacles avoidance using dynamic window approach
منشور في 2018احصل على النص الكامل
doctoralThesis -
87
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…For the purpose of predicting ground loss as a function of fruit zone, plant height, fruit production, slope, leaf loss, and blower damage, three ML models i.e., support vector regression (SVR), linear regression (LR), and random forest (RF)—were used. …"
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88
Evolutionary algorithms, simulated annealing and tabu search: a comparative study
منشور في 2020"…The three heuristics are applied on the same optimization problem and compared with respect to (1) quality of the best solution identified by each heuristic, (2) progress of the search frominitial solution(s) until stopping criteria are met, (3) the progress of the cost of the best solution as a function of time (iteration count), and (4) the number of solutions found at successive intervals of the cost function. …"
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89
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
منشور في 2024"…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …"
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90
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
منشور في 2012احصل على النص الكامل
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masterThesis -
91
Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
منشور في 2003"…Tracking analysis of the normalized least mean square (NLMS) algorithm is carried out in the presence of two sources of nonstationarities: 1) carrier frequency offset between transmitter and receiver; 2) random variations in the environment. …"
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احصل على النص الكامل
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92
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95
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
منشور في 2023"…It should be noted that, except EBCM, the other 10 new algorithms are inferior to the 4 state-of-the-art algorithms in terms of convergence speed and global search ability on CEC 2017 functions. …"
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96
A comparative study of ElGamal based digital signature algorithms
منشور في 2006"…ElGamal public-key and digital signature scheme were modified from the domain of natural integers, Z, to the domains of Gaussian integers, Z[i], and polynomials over finite fields, F[x]. We implement the classical and modified ElGamal digital signature scheme to compare and to test their functionality, reliability and security. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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97
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100
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
منشور في 2022"…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"