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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The outcome of this study will add to the body of knowledge the most important and recent proposed solutions to mitigate SQL injection attack, in particular those based on machine learning algorithm…”
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Improvement DACS3 Searching Performance using Local Search
Published 2009“…The capability of DACS3 is measured based on quality of solution, time taken to reach the solution and algorithm performance. …”
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah
Published 2022“…These tests use specific problem characteristics to impose the underlying proposed solution as well as three other systems. …”
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks
Published 2022“…These tests use specific problem characteristics to impose the underlying proposed solution as well as three other systems. …”
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Hardware And Software Partitioning Using Genetic Algorithm In Image Processing Application
Published 2018“…The HW resource spent in HW/SW Partitioned Solution 3 (Q = 1022) is 45.01% lesser than pure hardware solution. …”
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Hybrid flow shop scheduling problem with energy utilization using non-dominated sorting genetic algorithm-III (NSGA-III) optimization
Published 2023“…This paper presents the existing multi-objective approach for solving energy utilization and makespan problems in HFS scheduling using Non-Dominated Sorting Genetic Algorithm-III (NSGA-III), and a comparison to other optimization models was subjected for analysis. …”
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Algorithm solution for space-fractional diffusion equations
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Optimal power flow using the Jaya algorithm
Published 2016“…Statistical analysis is also carried out to check the reliability of the Jaya algorithm. The optimal solution obtained by the Jaya algorithm is compared with different stochastic algorithms, and demonstrably outperforms them in terms of solution optimality and solution feasibility, proving its effectiveness and potential. …”
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Artificial bee colony algorithm with proposed discrete nearest neighborhood algorithm for discrete optimization problems
Published 2021“…Although Althought the average error of proposed ABC algorithm has been 0.371% higher than best solution of all methods, it could improve the solution of 3 problems with average of 3.305%. …”
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…This thesis presents an investigation of using the Intelligent Water Drops (IWD) algorithm to construct and produce good quality solutions for the UETP. …”
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Reducing Iteration Using Candidate List
Published 2008“…Thus, adding a suitable strategy like candidate list concept would helps DACS3 improve its’ performance. Traveling Salesman Problem (TSP) was used as a case study to show the capability of the algorithm in order to find the best solution in terms of the shortest distance. …”
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Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli
Published 2017“…The solution that had being used is three-dimensional array chromosome structure to represent each schedule. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The proposed population-based SKF algorithm and the single solution-based SKF algorithm use the scalar model of discrete Kalman filter algorithm as the search strategy to overcome these flaws. …”
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Hybrid of firefly algorithm and pattern search for solving optimization problems
Published 2018“…In the firefly changing position stage, the randomization factor is used to update the solution in each iteration of operational stages. …”
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Enhanced algorithms for three-dimensional object interpreter
Published 2004“…Besides reducing the number of image regularities used and new method to solve the linear system, this study has proposed better solutions in terms of an enhanced thinning algorithm, a modified Freeman chain code algorithm as picture description language, and a new computational comer detection algorithm.…”
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Optimal operation of multi-reservoir systems for increasing power generation using a seagull optimization algorithm and heading policy
Published 2021“…The results indicated that the global solution of the MSOO based on NLP for Two-Point Heading Rule (1) under the first inflow scenario and was 3.22 while the average solution of Seagull Optimization Algorithm, Salp Swarm Algorithm, Shark Optimization Algorithm, and Bat Algorithm in respective order was 3.25, 3.93, 4.87 and 6.03. …”
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