Mixed-sinusoid-based path optimization method for spacecraft attitude maneuvers

2015 ◽  
Author(s):  
Shuping Tan
Keyword(s):  
Optimization Method ◽  
Path Optimization ◽  
Spacecraft Attitude

Cable-path optimization method for industrial robot arms

2022 ◽  
Vol 73 ◽  
pp. 102245
Author(s):  
Shintaro Iwamura ◽  
Yoshiki Mizukami ◽  
Takahiro Endo ◽  
Fumitoshi Matsuno
Keyword(s):  
Industrial Robot ◽  
Optimization Method ◽  
Path Optimization ◽  
Robot Arms

scholarly journals Toward solving the sign problem with path optimization method

2017 ◽  
Vol 96 (11) ◽  
Author(s):  
Yuto Mori ◽  
Kouji Kashiwa ◽  
Akira Ohnishi
Keyword(s):  
Optimization Method ◽  
Path Optimization ◽  
Sign Problem

scholarly journals Picking Path Optimization of Agaricus bisporus Picking Robot

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Xiaomei Hu ◽  
Zhaoren Pan ◽  
Shunke Lv
Keyword(s):  
Field Experiments ◽  
Search Algorithm ◽  
Optimal Path ◽  
Temperature Drop ◽  
Optimization Method ◽  
Labor Cost ◽  
Path Optimization ◽  
Parallel Optimization ◽  
Storage Location ◽  
Short Time

The design and application of the mushroom picking robot will greatly reduce the labor cost, and it has become one of the research hotspots in the world. Therefore, we independently developed an A. bisporus (a kind of mushroom) picking robot and introduced its functional principle in this paper. At the same time, in order to improve the picking efficiency of the picking robot, a picking path optimization algorithm based on TSP model is proposed. Firstly, based on the TSP model, a picking route model for A. bisporus was established to determine the storage location of each A. bisporus. Then, an improved simulated annealing (I-SA) search algorithm is proposed to find the optimal path sequence. By improving the path initialization module, path generation module, and temperature drop module, the I-SA search algorithm can optimize the picking path in a short time. Finally, in order to improve the stability and reduce the running time of the I-SA search algorithm, a parallel optimization method for global search (“rough exploration”) and local search (“precision exploration”) is proposed. Through simulation experiments, the I-SA search algorithm can search stable and excellent path solution in a relatively short time. Through field experiments on mushroom base, the efficiency of picking A. bisporus can be improved by 14% to 18%, which verifies the effectiveness of the I-SA search algorithm.

Agricultural Optimization of Cold-Chain Logistics Distribution Routing Based on PSO

2013 ◽  
Vol 756-759 ◽  
pp. 3941-3945 ◽  
Author(s):  
Wei Yang ◽  
Qian Zhang ◽  
Guo Dong Li
Keyword(s):  
Optimization Problem ◽  
Particle Swarm Optimization Algorithm ◽  
Optimization Method ◽  
Agricultural Products ◽  
Path Optimization ◽  
Cold Chain ◽  
Swarm Optimization ◽  
Logistics Distribution ◽  
Routing Optimization ◽  
Definition Of

The definition of the cold chain logistics and the problem of the agricultural cold chain logistics are introduced. According to the characteristics of cold chain logistics, exploring the cold chain logistics distribution path optimization method. Based on the model of the agricultural products cold chain logistics distribution routing optimization, particle swarm optimization algorithm is constructed to solve the optimization problem. Taking an example, the results have been conducted finally to demonstrate the effectiveness of the algorithm for agricultural products cold chain logistics distribution routing optimization problem.

scholarly journals A gradient-based path optimization method for motion planning

2016 ◽  
Vol 30 (17-18) ◽  
pp. 1126-1144 ◽  
Author(s):  
Mylène Campana ◽  
Florent Lamiraux ◽  
Jean-Paul Laumond
Keyword(s):  
Motion Planning ◽  
Optimization Method ◽  
Path Optimization ◽  
Gradient Based

scholarly journals PROPOSING A MULTI-CRITERIA PATH OPTIMIZATION METHOD IN ORDER TO PROVIDE A UBIQUITOUS PEDESTRIAN WAYFINDING SERVICE

2015 ◽  
Vol XL-1-W5 ◽  
pp. 639-644 ◽  
Author(s):  
M. Sahelgozin ◽  
A. Sadeghi-Niaraki ◽  
S. Dareshiri
Keyword(s):  
Mathematical Model ◽  
Mobile Devices ◽  
Environmental Conditions ◽  
Context Awareness ◽  
Optimization Method ◽  
Path Optimization ◽  
Navigation Systems ◽  
Different Types ◽  
Novel Applications

A myriad of novel applications have emerged nowadays for different types of navigation systems. One of their most frequent applications is <i>Wayfinding</i>. Since there are significant differences between the nature of the pedestrian wayfinding problems and of those of the vehicles, navigation services which are designed for vehicles are not appropriate for pedestrian wayfinding purposes. In addition, diversity in environmental conditions of the users and in their preferences affects the process of pedestrian wayfinding with mobile devices. Therefore, a method is necessary that performs an intelligent pedestrian routing with regard to this diversity. This intelligence can be achieved by the help of a <i>Ubiquitous</i> service that is adapted to the <i>Contexts</i>. Such a service possesses both the <i>Context-Awareness</i> and the <i>User-Awareness</i> capabilities. These capabilities are the main features of the ubiquitous services that make them flexible in response to any user in any situation. In this paper, it is attempted to propose a multi-criteria path optimization method that provides a Ubiquitous Pedestrian Way Finding Service (UPWFS). The proposed method considers four criteria that are summarized in <i>Length, Safety, Difficulty</i> and <i>Attraction</i> of the path. A conceptual framework is proposed to show the influencing factors that have effects on the criteria. Then, a mathematical model is developed on which the proposed path optimization method is based. Finally, data of a local district in Tehran is chosen as the case study in order to evaluate performance of the proposed method in real situations. Results of the study shows that the proposed method was successful to understand effects of the contexts in the wayfinding procedure. This demonstrates efficiency of the proposed method in providing a ubiquitous pedestrian wayfinding service.

scholarly journals An Empirical Study on Low Emission Taxiing Path Optimization of Aircrafts on Airport Surfaces from the Perspective of Reducing Carbon Emissions

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1649 ◽  
Author(s):  
Nan Li ◽  
Yu Sun ◽  
Jian Yu ◽  
Jian-Cheng Li ◽  
Hong-fei Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
Emission Reduction ◽  
Trajectory Optimization ◽  
Optimization Methods ◽  
Optimization Method ◽  
Path Optimization ◽  
Pollutant Emissions ◽  
Future Research ◽  
Aircraft Emissions ◽  
Fuel Consumption And Emissions

Aircraft emissions are the main cause of airport air pollution. One of the keys to achieving airport energy conservation and emission reduction is to optimize aircraft taxiing paths. The traditional optimization method based on the shortest taxi time is to model the aircraft under the assumption of uniform speed taxiing. Although it is easy to solve, it does not take into account the change of the velocity profile when the aircraft turns. In view of this, this paper comprehensively considered the aircraft’s taxiing distance, the number of large steering times and collision avoidance in the taxi, and established a path optimization model for aircraft taxiing at airport surface with the shortest total taxi time as the target. The genetic algorithm was used to solve the model. The experimental results show that the total fuel consumption and emissions of the aircraft are reduced by 35% and 46%, respectively, before optimization, and the taxi time is greatly reduced, which effectively avoids the taxiing conflict and reduces the pollutant emissions during the taxiing phase. Compared with traditional optimization methods that do not consider turning factors, energy saving and emission reduction effects are more significant. The proposed method is faster than other complex algorithms considering multiple factors, and has higher practical application value. It is expected to be applied in the more accurate airport surface real-time running trajectory optimization in the future. Future research will increase the actual interference factors of the airport, comprehensively analyze the actual situation of the airport’s inbound and outbound flights, dynamically adjust the taxiing path of the aircraft and maintain the real-time performance of the system, and further optimize the algorithm to improve the performance of the algorithm.

Research on Path Optimization of Automated Warehouse Based on Ant Colony Algorithm

2011 ◽  
Vol 201-203 ◽  
pp. 1112-1115
Author(s):  
Hao Ping Li ◽  
Zi Fan Fang ◽  
Ying Wang
Keyword(s):  
Mathematical Model ◽  
Energy Consumption ◽  
Optimization Algorithm ◽  
Ant Colony Algorithm ◽  
Operation Time ◽  
Optimization Method ◽  
Ant Colony ◽  
Path Optimization ◽  
Operating Costs ◽  
Reduce Energy Consumption

Based on analysis of the cargo selecting strategy of fixed shelf automated warehouse, the idea of path optimization is put forward and the stacker path optimization method is studied. A mathematical model of stacker operation path optimization is built to minimize the length of operation path and the operation time. The model is solved by using the ant colony optimization method. Simulation shows that chosen stacker operation path by using the optimization model and optimization algorithm, can not only reduce energy consumption and warehouse operating costs, but also improve the efficiency of goods storage.

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