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Showing 1 to 12 of 12 for “"Differential evolution algorithm"”.
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Improving Results of Differential Evolution Algorithm
… cases, engineers and researchers have to rely on algorithms and techniques that can find sub-optimal 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 …
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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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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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Reconstruction Methods for Optical Molecular Tomography
… transport model, and reconstruction algorithm. This dissertation focuses mainly on the development optical molecular tomography methods based on bioluminescence/fluorescence probes to solve some well-known challenges in this field. Our main results are as follows. We developed a new …
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Towards Efficient Hydraulic Manipulator Control using Learning-Based Model Predictive Control
… constraints limited the controller bandwidth. Differential evolution algorithm was leveraged to optimize a dynamics regression trajectory. A PD feedback controller was employed for dynamics parameter regression trial trajectory tracking. The dynamics parameters were regressed, resulting in a …
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Adaptively shaped advanced ultrafast laser sources
… process was controlled by a simulated annealing algorithm and three times improvement in the autocorrelation peak intensity was demonstrated, with close to transform-limited pulse durations of 800 fs at pulse energies as high as 65 μJ. Following this, a home-built adaptively shaped fibre CPA …
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Mathematical and Computational Methods for the n-Body Problem
… task. Within this setting, novel hybrid algorithms are implemented, most notably the Multi-Population Adaptive Inflationary Differential Evolution Algorithm and the Lattice domain-partitioning scheme, which jointly enable efficient exploration and refinement of the action landscape under …
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Investigation of polymer grade blending in Ziegler-Natta Catalysed ethylene polymerisation systems
… This is especially useful since optimisation algorithms used in optimal control theory are iterative by nature. The Differential Evolution Algorithm (DEA) was used to minimise the objective functions that were developed for the optimisation schemes due to its ability to evaluate objective …
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Digital Filter Design Using Improved Artificial Bee Colony Algorithms
… of magnitude and group delay responses. Evolutionary algorithms are population-based meta-heuristic algorithms inspired by the biological behaviors of species. Compared to gradient-based optimization algorithms such as steepest descent and Newton’s like methods, these bio-inspired …
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Improving Watershed Models to Achieve a Better Prediction of Water Quantity and Quality
… was used as the basis for calibrating using a differential evolution algorithm. To evaluate the MBC, SWAT models for three newly instrumented USGS gages in Lake Champlain Basin of Vermont, USA, were compared to the commonly used similarity-based regionalization (SBR) approach. Results …