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41
Application of particle swarm optimization algorithm to multiuser detection in CDMA
Published 2005“…We show that the new algorithm outperforms the other two. Moreover, the performance under near-far scenario, the system capacity and the computational complexity of the proposed detector are also investigated.…”
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42
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…Our model uses a large number of simple processing elements or neurons, based on the McCulloch-Pitts binary neuron. The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and c cliques. …”
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43
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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44
Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems
Published 2020“…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. An objective function is presented allowing the selection of the output feedback gains to place the closed-loop eigenvalues in the left-hand side of a vertical line in the complex s-plane while shifting a specific mode of oscillation to a vertical strip and with bounds on the damping ratio. …”
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45
A Parallel Algorithm for Inverse Halftoning and its Hardware Implementation
Published 2020“…This paper proposes a parallel algorithm for inverse halftoning by parallelizing the LUT method of inverse halftoning. …”
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46
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
Published 2016Get full text
doctoralThesis -
47
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
Published 2008Get full text
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masterThesis -
48
A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995)
Published 1995Get full text
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masterThesis -
49
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Published 2024“…To address the complexity of this NP-hard problem, the HES-IG algorithm combines evolution strategies (ES) and iterated greedy (IG) algorithm, as hybridizing algorithms helps different algorithms mitigate their weaknesses and leverage their respective strengths. …”
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50
A parallel optimization algorithm for the maximum clique problem. (c2008)
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51
A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
Published 2010“…The graph colouring problem, an NP-hard problem, has important applications in many areas including time tabling and scheduling, frequency assignment, and register allocation. The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …”
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52
Multi-marker-LD based genetic algorithm for tag SNP selection
Published 2014“…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …”
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53
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
Published 2010“…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
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54
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
Published 2012Get full text
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55
Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge
Published 2021“…These computations typically require signal processing algorithms running on resource-constrained mobile devices, while to provide the core services and the required computational power, cloud servers are applied. …”
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56
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
Published 2021“…All these developed algorithms have some merits and also demerits. 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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57
The buffered work-pool approach for search-tree based optimization algorithms
Published 2017“…This new trend has been motivated by hardness of approximation results that appeared in the last decade, and has taken a great boost by the emergence of parameterized complexity theory. Exact algorithms often follow the classical search-tree based recursive backtracking strategy. …”
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58
An enhanced k-means clustering algorithm for pattern discovery in healthcare data
Published 2015“…Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
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59
Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. New approaches are needed to enhance the existing techniques, both to reduce execution time and improve fault coverage. …”
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60
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021“…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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