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41
Metaheuristic Algorithm for State-Based Software Testing
منشور في 2018"…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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42
Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
منشور في 2020"…It is important to choose the right cleaning strategy (method and frequency) to maximize the electricity production and economic performance of the PV facility. An optimization algorithm was developed and tested for multiple PV panel configurations based in Dubai Water and Electricity Authority’s (DEWA) outdoor test facil ity (OTF) solar lab. …"
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43
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…Particle swarm optimization (PSO), firefly algorithm, ant colony optimization (ACO), and bat algorithm (BA) have gained much popularity and they have successfully tackled various test suites of benchmark functions and real-world problems. …"
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44
Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
منشور في 2023"…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. …"
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45
A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement
منشور في 2005"…In this paper, we present a parallel tabu search (TS) algorithm for efficient optimization of a constrained multiobjective VLSI standard cell placement problem. …"
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46
Fuzzified ant colony optimization algorithm for efficient combinational circuits synthesis
منشور في 2004"…With the increasing demand for high quality, more efficient, less area and less power circuits, the problem of logic circuit design has become a multiobjective optimization problem. Multiobjective optimization of logic circuits based on a fuzzified ant colony (ACO) algorithm is presented. …"
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47
Multiobjective optimal power flow using strength Pareto evolutionary algorithm
منشور في 2004"…A new strength Pareto evolutionary algorithm (SPEA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and non-commensurable objectives. …"
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48
A parallel optimization algorithm for the maximum clique problem. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
49
Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach
منشور في 2024"…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …"
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50
Tabu search based circuit optimization
منشور في 1998احصل على النص الكامل
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51
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52
Optimizing Energy Consumption of Cloud Computing IaaS
منشور في 2017احصل على النص الكامل
doctoralThesis -
53
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
منشور في 2016"…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …"
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54
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …"
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55
A Scatter search algorithm for exam scheduling. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
56
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57
A combined ant colony optimization and simulated annealing algorithm to assess Stability and fault-proneness of classes based on internal software quality attributes
منشور في 2016"…A Combined Ant Colony Optimization and Simulated Annealing Algorithm to Assess Stability and Fault-Proneness of Classes Based on Internal Software Quality Attributes. …"
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58
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59
Optimal multiobjective design of robust power system stabilizers using genetic algorithms
منشور في 2003"…The problem of robustly selecting the parameters of the power system stabilizers is converted to an optimization problem which is solved by a genetic algorithm with the eigenvalue-based multiobjective function. …"
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60
A new family of multi-step quasi-Newton algorithms for unconstrained optimization
منشور في 1999"…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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article