Interplanetary trajectory optimization with swing-bys using evolutionary multi-objective optimization

2008 ◽  
Author(s):  
Nikhil Padhye
Keyword(s):  
Trajectory Optimization ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Interplanetary Trajectory

Multi-Objective Trajectory Optimization for Freight Trains Based on Quadratic Programming

2020 ◽  
Vol 2674 (11) ◽  
pp. 466-477
Author(s):  
Baoxue Bai ◽  
Zhuang Xiao ◽  
Qingyuan Wang ◽  
Pengfei Sun ◽  
Xiaoyun Feng
Keyword(s):  
Energy Efficiency ◽  
Quadratic Programming ◽  
Optimization Model ◽  
Trajectory Optimization ◽  
Nonlinear Approximation ◽  
Computation Time ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Electric Braking ◽  
Better Than

The overspeed protection, smooth driving, punctuality, and energy efficiency of freight trains largely depend on their trajectory optimization. This paper proposes a multi-objective optimization model, which maximizes the weighted sum of energy efficiency, punctuality, and driving smoothness. Model constraints systematically cover many practical conditions, including varying line resistance, overspeed protection, discrete neutral zones, and nonlinear traction and electric braking characteristics. Electric braking and pneumatic braking are distinguished in the freight train model, and the utilization of feedback braking energy is also considered. By nonlinear approximation, the proposed multi-objective optimization model is solved by the quadratic programming (QP) algorithm, and optimized trajectories are obtained. Numerical simulation demonstrates the correctness and effectiveness of the proposed method. Comparisons with two actual trials show that the energy efficiency and driving smoothness of the proposed method are better than that of the drivers’ operation with the same journey time. In addition, the algorithm has a short computation time, which has the potential to be integrated for on-board devices such as the driver advisory system (DAS).

A Heuristic Method Based on Multi-Objective Optimization Concept for Solving RNA Multiple Alignment

2017 ◽  
Vol 10 (5) ◽  
pp. 371
Author(s):  
Arakil Chentoufi ◽  
Abdelhakim El Fatmi ◽  
Molay Ali Bekri ◽  
Said Benhlima ◽  
Mohamed Sabbane
Keyword(s):  
Heuristic Method ◽  
Multiple Alignment ◽  
Multi Objective Optimization ◽  
Multi Objective
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