@inbook{6b930fcf8829451393db2891237b588d,
title = "Performance Analysis of Different Optimization Strategies",
abstract = "The main objective of this chapter is to analyze the performance of different optimization strategies for calculating the optimal trajectories. Based on the performance analysis, one may be able to improve one of these techniques in order to circumvent the limitations brought by the classic methods. In the analysis, two types of optimization strategies are applied to solve the SMV trajectory optimization problem. Specifically, gradient-based and derivative-free optimization techniques are used to calculate the optimal time history with respect to the state and control variables. These techniques are discussed in detail in the following sections. Numerical simulations were carried out and the results indicate that the studied strategies are effective and can provide feasible solutions for solving the constrained SMV trajectory design problem. Moreover, the key features such as the advantages and disadvantages of using these recently developed optimization techniques are also concluded.",
author = "Runqi Chai and Al Savvaris and Antonios Tsourdos and Senchun Chai",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.",
year = "2020",
doi = "10.1007/978-981-13-9845-2_4",
language = "English",
series = "Springer Aerospace Technology",
publisher = "Springer Nature",
pages = "55--72",
booktitle = "Springer Aerospace Technology",
address = "Switzerland",
}