Optimierung mit Genetischen Algorithmen und eine Anwendung zur Modellreduktion (Optimization with Genetic Algorithms and an Application for Model Reduction)

Buttelmann, Maik; Lohmann, Boris

doi:10.1524/auto.52.4.151.29416

Cited by 11 publications

(4 citation statements)

References 1 publication

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“…Additionally, the mutation probability underwent incremental changes in steps of 0.1, ranging from p m = 0.1 to p m = 0.5. The selection of these parameter bounds for the crossover probability is grounded in their established prevalence within the literature [32], [33]. As for the mutation probability limits, these were determined empirically.…”

Section: Optimal Parameters For Genetic Algorithmsmentioning

confidence: 99%

Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings

Brennenstuhl,

Otto,

Schembera

et al. 2023

Preprint

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In Germany, renewable energy sources play a crucial role in electricity generation, with wind and photovoltaic (PV) leading the way. In 2022, large wind turbines contributed 24.1% of the electricity generated, while PV accounted for 10.6%. Contrary, small wind power holds a marginal share of less than 0.01%. This is unfortunate as the decentralized nature of small wind power at low-voltage grid level offers benefits like reducing the need for grid expansion or infrastructure upgrades. Although small wind power currently suits locations with favorable wind potential, changing factors such as rising electricity prices, falling battery storage costs, and growing electrification in heating and transport could create new opportunities. Within this work a residential energy supply system consisting of small wind turbine, PV, heat pump, battery storage, and electric vehicle was dimensioned for different sites in Germany and Canada based on detailed simulation models and genetic algorithms. This was carried out for various economic framework conditions. Results indicate that with electricity purchase costs above 0.42 €/kWh, combined with a 25% reduction in small wind turbine and battery storage investment expenses, economic viability could be significantly enhanced. This might expand the applicability of small wind power to diverse sites.

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Section: Optimal Parameters For Genetic Algorithmsmentioning

confidence: 99%

Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings

Brennenstuhl,

Otto,

Schembera

et al. 2023

Preprint

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show abstract

“…Thus, to avoid local minima in the search process, global optimization strategies can be used. One common strategy known for its robustness end flexibility is the GA [61][62][63][64][65]. GA can be assigned to heuristic optimization methods.…”

Section: State Of the Art And Related Workmentioning

confidence: 99%

“…In this approach, individuals with rank 1 represent those with the lowest fitness value, whereas rank n describes the best [64]. To determine the probability of selection, [82] suggests the following procedure: the expected value E max is assigned (1 ≤ E max ≤ 2) to the highest-ranked individual.…”

Section: Genetic Algorithmmentioning

confidence: 99%

“…The results of [85,86] had shown that elitism could significantly speed up the GA's performance, which can also help prevent the loss of good solutions once they are found. To achieve this and reach a better convergence, the worst offspring (20% of the population size) is replaced by the best parent individuals [64]. Furthermore, 20% of the parent individuals are chosen to be elite individuals [86] without any lifespan.…”

Section: Genetic Algorithmmentioning

confidence: 99%

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Evolutionary Optimization Strategy for Indoor Position Estimation Using Smartphones

Grottke

Blankenbach

2021

Electronics

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Due to their distinctive presence in everyday life and the variety of available built-in sensors, smartphones have become the focus of recent indoor localization research. Hence, this paper describes a novel smartphone-based sensor fusion algorithm. It combines the relative inertial measurement unit (IMU) based movements of the pedestrian dead reckoning with the absolute fingerprinting-based position estimations of Wireless Local Area Network (WLAN), Bluetooth (Bluetooth Low Energy—BLE), and magnetic field anomalies as well as a building model in real time. Thus, a step-based position estimation without knowledge of any start position was achieved. For this, a grid-based particle filter and a Bayesian filter approach were combined. Furthermore, various optimization methods were compared to weigh the different information sources within the sensor fusion algorithm, thus achieving high position accuracy. Although a particle filter was used, no particles move due to a novel grid-based particle interpretation. Here, the particles’ probability values change with every new information source and every stepwise iteration via a probability-map-based approach. By adjusting the weights of the individual measurement methods compared to a knowledge-based reference, the mean and the maximum position error were reduced by 31%, the RMSE by 34%, and the 95-percentile positioning errors by 52%.

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Parameter Optimization of a Reduced Model for Multi‐Contact Locomotion of Humanoid Robots

Seiwald

Leyerer

Sygulla

et al. 2018

Proc Appl Math and Mech

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In this study, we investigate a reduced model intended for approximating the complex multi-body dynamics of our full-sized humanoid robot LOLA. In particular, we compare various optimization algorithms to find an optimal set of model parameters. For rating parameter sets, we define a cost function which penalizes differences between the simulated motion of the fulland reduced model. Due to the complex motions of a walking humanoid robot, which includes cyclic opening and closing contacts, one is easily trapped in local minima. Thus the focus of this study lies on techniques for global optimization based on meta-heuristics. We plan to use the reduced model for real-time stability analysis during multi-contact locomotion, i. e. walking with additional arm support.

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Optimierung mit Genetischen Algorithmen und eine Anwendung zur Modellreduktion (Optimization with Genetic Algorithms and an Application for Model Reduction)

Cited by 11 publications

References 1 publication

Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings

Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings

Evolutionary Optimization Strategy for Indoor Position Estimation Using Smartphones

Parameter Optimization of a Reduced Model for Multi‐Contact Locomotion of Humanoid Robots

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