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 25 for “"Differential Evolution (DE)"”.
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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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Development of differential evolution based Power System Stabilizer (PSS) with HVDC in small signal stability analysis using MATLAB
… great presently interest to both industry and academia. 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 …
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Design optimization of articulated vehicles with autonomous steering control
… extensive studies have been conducted on developing autonomous driving technologies. However, little attention has been paid to exploring autonomous articulated vehicles (AVs). This thesis proposes an approach to the design synthesis of AVs with autonomous steering. A linear yaw-plane …
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Optimized multi-superframe scheduling for clustered wireless sensor networks
… Hence, clustering algorithms are employed to decrease the number of packets in the network via data aggregation as well to reduce packet network collisions by adopting scheduled communication among nodes in a cluster. The composition of the superframe plays an important role in scheduling the …
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Inverse problems in electromagnetics
… first time. Finally, an optimization approach is designed to achieve the retrieval of general bianisotropic media with 72 unknown parameters. The hybrid algorithm combining the differential evolution (DE) algorithm and the simplex method steadily converges to the exact solution. The second inverse …
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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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An improved firefly algorithm for optimal microgrid operation with renewable energy
… constraints and generation limits are considered. The microgrid system for this case study considered both of renewable energy plant and conventional generator units. There are two test systems that have been considered as case study. The first test system is a simple microgrid system which …
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Improving Results of Differential Evolution Algorithm
… solutions to these problems. One of the most dependable algorithms 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 …
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Energy management system of a microgrid with distributed generation
… a microgrid during grid-connected and islanded modes of operation. In grid-connected mode, a microgrid draws/supplies power from/to the main grid, depending on the generation and load requirements, and with suitable market policies to maximize the efficiency/cost etc. Likewise, it can …
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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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Co-crystallisation of α,ω-dicarboxylic acids with nicotinamide and isonicotinamide
… were crystallised with nicotinamide for n = 0, 1, 2, 4, 5, 6, 7 and isonicotinamide for n = 5, 6, 7 yielding 12 new solid materials. The melting point of the starting materials and new products are determined and analysed, and the new crystalline materials characterised using NMR, …
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
… thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and …
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Novel opposition-based sampling methods for efficiently solving challenging optimization problems
… and sampling play a key role, but are not deeply investigated. It is of interest to know if the entire search space has the same quality for candidate-solutions during solving different type of optimization problems. In this thesis, a comprehensive investigation is conducted in order to …
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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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Design and Comparison of Induction Motor and Synchronous Reluctance Motor for Variable Speed Applications: Design Aided by Differential Evolution and Finite Element Analysis
The advances in power electronics devices have opened the possibility of counting on Synchronous Reluctance Motors (SRM) in applications where variations of speed are required. Evidently, for many years the Induction Motors (IM) have successfully supplied this demand, and they have become in …
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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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Microwave Tomography Using Stochastic Optimization And High Performance Computing
… parallel computing in microwave tomography for detection and imaging of dielectric objects. The main focus is on microwave tomography with the use of a parallelized Finite Difference Time Domain (FDTD) forward solver in conjunction with non-linear stochastic optimization based inverse solvers. …
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Search Techniques for Evolutionary Constrained Optimization
… and computer science domains. Over the last few decades, evolutionary algorithms (EAs) have been widely adopted to solve such problems. However the main search operators of EAs, such as crossover and mutation, are usually the same for both unconstrained and constrained problems. In other words, …
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Advances in Hybrid Evolutionary Computation for Continuous Optimization
Evolutionary Algorithms (EAs) are a set of optimization techniques that have become highly popular in recent decades. One of the main reasons for this success is that they provide a general purpose mechanism for solving a wide range of problems. Several approaches have been proposed, each of them …
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Advanced batch process modelling, control and optimization for injection stretch blow moulding
… stretch blow Moulding (ISBM) process is widely used to manufacture PET bottles for the beverage and consumer goods industry. However, at present the ISBM process, including both the stretch blow moulding and reheating processes, are totally open-loop. The processes are complex and users …
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