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Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
Published 2022“…Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. …”
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42
FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT
Published 2006“…A major difculty with such multi-objective combinatorial optimization problems is the existence of a very large solution search space, one of which is the desired optimal solution. …”
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43
Collision-Free Autonomous Navigation Solution for Mobile Wheeled
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44
PERF solutions for distributed query optimization. (c1999)
Published 1999Get full text
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masterThesis -
45
Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training
Published 2023“…Differential evolution (DE), a popular population-based metaheuristic algorithm, is an interesting alternative for tackling challenging optimisation problems. …”
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46
A Tabu Search algorithm for mapping data to multicomputers. (c1997)
Published 1997Get full text
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47
Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT)
Published 2017“…The powerful genetic algorithm optimization technique is augmented with an innovative “domain-trimming” modification. …”
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48
Lightweight blockchain solutions: Taxonomy, research progress, and comprehensive review
Published 2023“…In this paper, we present a taxonomy of lightweight blockchain solutions proposed in the literature. More precisely, we identify five areas within the “lightweight” concept, namely, blockchain architecture, device authentication, cryptography model, consensus algorithm, and storage method. …”
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49
Solution of Fractional Differential Equations: Transform and Iterative Methods Approach
Published 2019Get full text
doctoralThesis -
50
An evolutionary algorithm for network topology design
Published 2001“…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …”
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51
Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
Published 2006“…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
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52
An algorithm for solving bond pricing problem
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53
Bee Colony Algorithm for Proctors Assignment.
Published 2015“…This problem is intractable, and hence, heuristics algorithms are needed to find good solutions. In this paper, we propose a new solution for the proctor assignment problem based on the Bee Colony meta-heuristic algorithm. …”
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54
The social media Infodemic of health-related misinformation and technical solutions
Published 2024“…This paper discusses the role of social media algorithms in the spread of misinformation during the COVID-19 pandemic. …”
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55
Iterative Methods for the Solution of a Steady State Biofilter Model
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56
Parallel metaheuristic algorithm for exam timetabling
Published 2010“…Empirical results show that our proposed parallel scatter search algorithm yields good speedup. Also, they show that the parallel algorithm improves solution quality in comparison with the sequential algorithm.…”
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57
Solvability Conditions and General Solution of a System of Matrix Equations Involving η-Skew-Hermitian Quaternion Matrices
Published 2021“…<p dir="ltr">In this article, we study the solvability conditions and the general solution of a system of matrix equations involving η-skew-Hermitian quaternion matrices. …”
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58
Scalable Parallel Algorithms for FPT Problems
Published 2006“…To accomplish this, an efficient sequential algorithm and various forms of parallel algorithms are devised, implemented, and compared. …”
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59
Improvement Algorithm for Limited Space Scheduling
Published 2001“…An example illustrates the presented algorithm that generates a feasible space schedule.…”
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60
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
Published 2021“…The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. …”
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