Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 61 for “"Differential Evolution"”.
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Improving Results of Differential Evolution Algorithm
… for numerical optimisation problems is Differential Evolution (DE). Since its introduction in the mid 1990’s, DE has been on the fore front when it comes to applicability of optimisation algorithms to variety of real-parameter optimisation problems. This popularity of DE has driven …
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Differential Evolution for Dynamic Constrained Continuous Optimisation
In this thesis, we choose the evolutionary dynamic optimisation methodology to tackle dynamic constrained problems. Dynamic constrained problems represent a common class of optimisation that occur in many real-world scenarios. Evolutionary algorithms are often considered very general search …
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Fitness Landscape Analysis for the Differential Evolution Algorithm
Differential evolution (DE) is a prominent evolutionary algorithm for solving continuous optimization problems. Despite its widespread adoption, DE exhibits a pronounced sensitivity to control parameter configurations and problem-specific landscape characteristics. This thesis undertakes a …
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A Differential Evolution Algorithm for Generic Combinatorial Optimization Problems
… approaches, many researchers proposed different evolutionary algorithms (EAs) for solving them. Differential evolution (DE) is primarily used to solve continuous-based optimization problems and has been considered unsuitable for solving many permutation-based combinatorial ones. However, several …
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Multi-population-based differential evolution algorithm for optimization problems
A differential evolution (DE) algorithm is an evolutionary algorithm for optimization problems over a continuous domain. To solve high dimensional global optimization problems, this work investigates the performance of differential evolution algorithms under a multi-population strategy. The …
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Differential evolution optimisation of a two echelon inventory system.
In this thesis, we consider the effectiveness of Differential Evolution as a computational algorithm in the context of spare part inventory optimisation in a two-echelon supply chain setting. The study of DE in application to supply chain planning is limited; thus, we present a well-known hard …
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Application of differential evolution to power system stabilizer design
In recent years, many Evolutionary Algorithms (EAs) such as Genetic Algorithms (GAs) have been proposed to optimally tune the parameters of the PSS. GAs are population based search methods inspired by the mechanism of evolution and natural genetic. Despite the fact that GAs are robust and have …
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Co-orthologs of KATANIN1 Impact Plant Morphology and Show Differential Evolution in Maize
Understanding how the size and shape of crop plants and their specific organs are genetically controlled may allow for the development of cultivars with improved plant architecture. A microtubule-severing enzyme called katanin p60 is encoded by KATANIN1 (KTN1) in Arabidopsis or by an ortholog, …
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Investigation of an immune algorithm and differential evolution to study folding of model proteins
… application of both an Immune algorithm and a Differential Evolution search technique are described, with the aim of finding the lowest energy conformations of coarse-grained, model proteins. Initially, the two-dimensional HP Lattice Bead Model is investigated, followed by three-dimensional …
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Development of differential evolution based Power System Stabilizer (PSS) with HVDC in small signal stability analysis using MATLAB
… This research presents the designing of Differential Evolution (DE) power system stabilizer (PSS) controller with High Voltage Direct Current (HVDC) to improve the small signal stability (SSS). The Power System Toolbox version 3 MATLAB based software is used as a tool to simulate the …
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
… of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population initialization by distributing the population linearly. This linear distribution gives the population a unique, stable, …
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Design and Comparison of Induction Motor and Synchronous Reluctance Motor for Variable Speed Applications: Design Aided by Differential Evolution and Finite Element Analysis
… this study, a new approach based upon the Differential Evolution (DE) Algorithm was developed in order to design a 55Kw Induction Motor for variable speed applications, posteriorly, the performance of the final design was optimized by means of Finite Element Method (FEM) and evaluated …
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Modelo de computación evolutivo para redes sostenibles, eficientes y resistentes.
We present a new approach to adapt the differential evolution (DE) algorithm so that it can be applied in combinatorial optimization problems. The differential evolution algorithm has been proposed as an optimization algorithm for the continuous domain, using real numbers to encode the solutions, …
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Automated Unit Test Generation for the Python Programming Language
… for Python libraries using state-of-the-art evolutionary algorithms. We provide an up-to-date description of the Pynguin framework reflecting its recent advances. Furthermore, we target two previously identified open research problems: (1) The used evolutionary algorithms provide many …
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Reconstruction Methods for Optical Molecular Tomography
… of both the global search ability of the differential evolution algorithm and the efficiency of the conjugate gradient method. We published the first paper on multispectral bioluminescence tomography (BLT). The multispectral BLT approach improves the accuracy and stability of the BLT …
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Tissue segmentation using medical image processing chain optimization
… feature. Experiments indicate that using differential evolution to build Image processing chain (IPC) out of forty-five algorithms increases the segmentation performance of basic thresholding algorithms ranging from 2% to 78%.
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Modeling Metal Protein Complexes from Experimental Extended X-ray Absorption Fine Structure using Computational Intelligence
… algorithm, a restarting ge- netic algorithm, differential evolution, and particle swarm optimization, are studied for their effectiveness in structure refinement of EXAFS. The oxygen-evolving com- plex in S1 is used as a benchmark for comparing the algorithms. These algorithms were successful …
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Design optimization of articulated vehicles with autonomous steering control
… problem. Particle Swarm Optimization (PSO) and Differential Evolution (DE) are introduced and tested. Selected simulation results are presented and discussed, and the insightful findings may be used as guidelines for developing autonomous driving control systems of AVs.
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Optimized multi-superframe scheduling for clustered wireless sensor networks
… the application data rate of acquisition. The differential evolution (DE) algorithm is used to fulfill the objective, to maximize network life under different data acquisition rate. The data acquisition rate is dependent on the IEEE 802.15.4e superframe. In addition, the multi-superframe …
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Optimizing Pollution Routing Problem
… optimizing techniques applied are the Discrete Differential Evolution (DDE) and, Discrete Particle Swarm Optimization (DPSO) with a Python Tkinter frontend. The objectives to be optimized are the fuel consumption rate and distance traveled and a statistical comparison is done between the …
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