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Evolutionary Algorithms Applied To Interplanetary Spacecraft Trajectories Optimization
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Book Synopsis Evolutionary Algorithms Applied to Interplanetary Spacecraft Trajectories Optimization by : Daniel Ramírez Parejo
Download or read book Evolutionary Algorithms Applied to Interplanetary Spacecraft Trajectories Optimization written by Daniel Ramírez Parejo and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sending spacecrafts to any other planet or satellite within the Solar System is a difficult task. To be able to reach it at a precise time, it is crucial to know at which position the target planet is going to be, as well as a good study of the trajectory that the spacecraft is going to follow, which shall not be too close to any other object in the Solar System. It must be also be taken into account that the spacecrafts have a limited fuel capacity. In order to avoid using a high amount of fuel, multi-gravity assist trajectories are useful to provide additional manoeuvering to the spacecrafts without consuming fuel. Given an arbitrary sequence of planets for the swing-by manoeuvres, the next step is to determine when the spacecraft must be launched and how long will it take to it to perform the transfer trajectory. In this preliminary stage of the mission analy-sis, optimization algorithms can be used to obtain the most efficient trajectory, for instance, the trajectory at which the spacecraft requires the least amount of fuel to reach its destination. From the wide variety of heuristic optimization algorithms, in this Master's thesis four of them have been chosen (Genetic Algorithm, Differential Evolution Algorithm, Particle Swarm Algorithm and the simulated annealing algorithm). The aim of this thesis is to perform a hyperparameter optimization, that is, finding whether a certain combination of parameters for each optimizer works properly for different trajecto-ries' scenarios: a direct launch to an outer planet and a multi-gravity assist scenario to outer planets as well as to inner planets. The results show that it exists a region of parameters for the Genetic Algorithm and the Differential Evolution Algorithm where the best solutions can be found. Simulated Annealing Algorithm shows a dependance on the scenario, as well as some parameters of the Particle Swarm Algorithm.
Book Synopsis Automated Search for Future Interplanetary Trajectories to Jupiter Based on a Global Optimization Approach by : Annapurna Basavaraju
Download or read book Automated Search for Future Interplanetary Trajectories to Jupiter Based on a Global Optimization Approach written by Annapurna Basavaraju and published by . This book was released on with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: NA*****A vital problem in mission analysis is the design of interplanetary trajectories. The goal of the mission can be to land on the celestial body or to insert the spacecraft into the planets orbit and the purpose of a model is to assist trajectory planners in taking the best decision in order to achieve a low-cost mission. In general, accurate models are computationally very demanding. For this reason simplified models are typically used: it is assumed that the spacecraft is equipped with a chemical propulsion engine and with the intention of reducing the overall energy spent during the mission. Global optimisation techniques are usually applied to these simplified models. These might yield a single best solution or a set of good solutions. The latter choice is usually desirable because it allows for a greater flexibility when the real mission has to be planned. Once the solution(s) of the simplified models have been obtained, they can be further refined through more accurate and costly models.The interplanetary trajectory design problems can be solved by evolutionary algorithms, and in particular this thesis resorts to the differential evolution (DE) method with self-adaption. This thesis applies such an algorithm to find the best trajectory for a future Jupiter mission such as the JUICE mission of ESA.The best trajectory proposed by this thesis is represented by the sequence EVEMdEEJ where a DSM in applied in the M-E arc. The launch date is on 21/03/2028 and the total delta-V is 4.38 km/s.
Book Synopsis Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems by : Runqi Chai
Download or read book Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems written by Runqi Chai and published by Springer. This book was released on 2019-07-30 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the design of optimal trajectories for space maneuver vehicles (SMVs) using optimal control-based techniques. It begins with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design of a novel hybrid optimization strategy that combines an initial guess generator with an improved gradient-based inner optimizer. Further, it highlights the development of multi-objective spacecraft trajectory optimization problems, with a particular focus on multi-objective transcription methods and multi-objective evolutionary algorithms. In its final sections, the book studies spacecraft flight scenarios with noise-perturbed dynamics and probabilistic constraints, and designs and validates new chance-constrained optimal control frameworks. The comprehensive and systematic treatment of practical issues in spacecraft trajectory optimization is one of the book’s major features, making it particularly suited for readers who are seeking practical solutions in spacecraft trajectory optimization. It offers a valuable asset for researchers, engineers, and graduate students in GNC systems, engineering optimization, applied optimal control theory, etc.
Book Synopsis Spacecraft Trajectory Optimization by : Bruce A. Conway
Download or read book Spacecraft Trajectory Optimization written by Bruce A. Conway and published by Cambridge University Press. This book was released on 2010-08-23 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a long-overdue volume dedicated to space trajectory optimization. Interest in the subject has grown, as space missions of increasing levels of sophistication, complexity, and scientific return - hardly imaginable in the 1960s - have been designed and flown. Although the basic tools of optimization theory remain an accepted canon, there has been a revolution in the manner in which they are applied and in the development of numerical optimization. This volume purposely includes a variety of both analytical and numerical approaches to trajectory optimization. The choice of authors has been guided by the editor's intention to assemble the most expert and active researchers in the various specialities presented. The authors were given considerable freedom to choose their subjects, and although this may yield a somewhat eclectic volume, it also yields chapters written with palpable enthusiasm and relevance to contemporary problems.
Book Synopsis An Overview of Evolutionary Algorithms Toward Spacecraft Attitude Control by : Matthew Cooper
Download or read book An Overview of Evolutionary Algorithms Toward Spacecraft Attitude Control written by Matthew Cooper and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms can be used to solve interesting problems for aeronautical and astronautical applications, and it is a must to review the fundamentals of the most common evolutionary algorithms being used for those applications. Genetic algorithms, particle swarm optimization, firefly algorithm, ant colony optimization, artificial bee colony optimization, and the cuckoo search algorithm are presented and discussed with an emphasis on astronautical applications. In summary, the genetic algorithm and its variants can be used for a large parameter space but is more efficient in global optimization using a smaller chromosome size such that the number of parameters being optimized simultaneously is less than 1000. It is found that PID controller parameters, nonlinear parameter identification, and trajectory optimization are applications ripe for the genetic algorithm. Ant colony optimization and artificial bee colony optimization are optimization routines more suited for combinatorics, such as with trajectory optimization, path planning, scheduling, and spacecraft load bearing. Particle swarm optimization, firefly algorithm, and cuckoo search algorithms are best suited for large parameter spaces due to the decrease in computation need and function calls when compared to the genetic algorithm family of optimizers. Key areas of investigation for these social evolution algorithms are in spacecraft trajectory planning and in parameter identification.
Book Synopsis Evolutionary Computation for Spacecraft Trajectory Optimization by : Bradley Joseph Sottile
Download or read book Evolutionary Computation for Spacecraft Trajectory Optimization written by Bradley Joseph Sottile and published by . This book was released on 2013 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimization of Low Thrust Spacecraft Trajectories Using a Genetic Algorithm by : Jason Corey Eisenreich
Download or read book Optimization of Low Thrust Spacecraft Trajectories Using a Genetic Algorithm written by Jason Corey Eisenreich and published by . This book was released on 1998-01-01 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis concerns the use of genetic algorithms in the optimization of the trajectories of low thrust spacecraft. Genetic algorithms are programming tools which use the principles of biological evolution and adaptation to optimize processes. These algorithms have been found to be very useful in many different engineering disciplines. The goal of this project is to determine their applicability to the generation and optimization of low thrust spacecraft trajectories. This thesis describes the basic operating principles of genetic algorithms and then applies them to two different missions.
Book Synopsis An investigation of the applicability of genetic algorithms to spacecraft trajectory optimization by : Elfego Piñon
Download or read book An investigation of the applicability of genetic algorithms to spacecraft trajectory optimization written by Elfego Piñon and published by . This book was released on 1995 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Colliding Bodies Optimization by : A. Kaveh
Download or read book Colliding Bodies Optimization written by A. Kaveh and published by Springer. This book was released on 2015-06-10 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents and applies a novel efficient meta-heuristic optimization algorithm called Colliding Bodies Optimization (CBO) for various optimization problems. The first part of the book introduces the concepts and methods involved, while the second is devoted to the applications. Though optimal design of structures is the main topic, two chapters on optimal analysis and applications in constructional management are also included. This algorithm is based on one-dimensional collisions between bodies, with each agent solution being considered as an object or body with mass. After a collision of two moving bodies with specified masses and velocities, these bodies again separate, with new velocities. This collision causes the agents to move toward better positions in the search space. The main algorithm (CBO) is internally parameter independent, setting it apart from previously developed meta-heuristics. This algorithm is enhanced (ECBO) for more efficient applications in the optimal design of structures. The algorithms are implemented in standard computer programming languages (MATLAB and C++) and two main codes are provided for ease of use.
Book Synopsis Global Optimization by : Marco Locatelli
Download or read book Global Optimization written by Marco Locatelli and published by SIAM. This book was released on 2013-10-16 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic methods, derivation of lower bounds for minimization problems, and branch-and-bound methods and convergence. The final chapter offers both benchmark test problems and applications of global optimization, such as finding the conformation of a molecule or planning an optimal trajectory for interplanetary space travel. An appendix provides fundamental information on convex and concave functions. Intended for Ph.D. students, researchers, and practitioners looking for advanced solution methods to difficult optimization problems. It can be used as a supplementary text in an advanced graduate-level seminar.
Book Synopsis Genetic Algorithms for Aeroassisted Trajectory Optimization and Time-optimal Spacecraft Reorientation Controller Design by : Yao-Feng Cheng
Download or read book Genetic Algorithms for Aeroassisted Trajectory Optimization and Time-optimal Spacecraft Reorientation Controller Design written by Yao-Feng Cheng and published by . This book was released on 1994 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An algorithm based on the mechanics of natural genetics is used to solve two different optimization problems. The algorithm combines survival of the fittest among string structures with randomized information exchange to form a search algorithm. Initiated with a population of bits-coded individuals, the genetic algorithm searches for the optimal solutions generation-by-generation. The three main operations in the genetic algorithm: Reproduction, Crossover, and Mutation give this algorithm the power of searching. In the first part of this thesis, the genetic algorithm is used to determine the optimal trajectories of the aeroassisted vehicle reentry problem. The trajectories to be optimized are determined not only by the parameter searching but also under a height constraint which make this study more interesting. In the second part of this thesis the genetic algorithm is used for designing three-axis bang-bang controllers for the time-optimal rigid spacecraft reorientation problem. The firing times of the bang-bang controller and the time of rotation are determined by searching for the angular velocity thresholds and the reorientation time"--Abstract, leaf iv.
Book Synopsis Interplanetary Trajectory Optimization with Differential Evolution by : Aaron D. Olds
Download or read book Interplanetary Trajectory Optimization with Differential Evolution written by Aaron D. Olds and published by . This book was released on 2005 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global optimization methods have been increasingly under consideration for the preliminary design of high-thrust interplanetary missions. One promising global method, Differential Evolution (DE), has previously been included in two comparative studies that resulted in contradictory performances for the algorithm. Differences in the three DE tuning parameters, population size, crossover probability, and mutation coefficient, are hypothesized to be the cause of the conflicting results. By experimentally investigating the relationship between tuning parameter values and the quality of solutions obtained, DE is found to be very sensitive to the tuning parameter values. A small number of tuning parameter sets are identified that result in rapid optimization of a diverse group of typical ballistic interplanetary trajectories. The tuned DE routine has been implemented in a new tool, MDTOP (Mission---Direct Trajectory Optimization Program), and the results have been characterized over an array of challenging problems.
Book Synopsis Symplectic Pseudospectral Methods for Optimal Control by : Xinwei Wang
Download or read book Symplectic Pseudospectral Methods for Optimal Control written by Xinwei Wang and published by Springer Nature. This book was released on 2020-10-16 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on symplectic pseudospectral methods for nonlinear optimal control problems and their applications. Both the fundamental principles and engineering practice are addressed. Symplectic pseudospectral methods for nonlinear optimal control problems with complicated factors (i.e., inequality constraints, state-delay, unspecific terminal time, etc.) are solved under the framework of indirect methods. The methods developed here offer a high degree of computational efficiency and accuracy when compared with popular direct pseudospectral methods. The methods are applied to solve optimal control problems arising in various engineering fields, particularly in path planning problems for autonomous vehicles. Given its scope, the book will benefit researchers, engineers and graduate students in the fields of automatic control, path planning, ordinary differential equations, etc.
Book Synopsis Evolutionary Algorithms for Solving Multi-Objective Problems by : Carlos Coello Coello
Download or read book Evolutionary Algorithms for Solving Multi-Objective Problems written by Carlos Coello Coello and published by Springer Science & Business Media. This book was released on 2007-09-18 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.
Author :Carlos A. Coello Coello Publisher :Springer Science & Business Media ISBN 13 :9780306467622 Total Pages :616 pages Book Rating :4.4/5 (676 download)
Book Synopsis Evolutionary Algorithms for Solving Multi-Objective Problems by : Carlos A. Coello Coello
Download or read book Evolutionary Algorithms for Solving Multi-Objective Problems written by Carlos A. Coello Coello and published by Springer Science & Business Media. This book was released on 2002 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving these large dimensional optimization problems have risen out of operations research, decision science, engineering, computer science and other related disciplines. The explosion in computing power continues to arouse extraordinary interest in stochastic search algorithms that require high computational speed and very large memories. A generic stochastic approach is that of evolutionary algorithms (EA). Such algorithms have been demonstrated to be very powerful and generally applicable for solving different single objective problems. Their fundamental algorithmic structures can also be applied to solving many multi-objective problems. In this book, the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and unique fashion, with detailed customized forms suggested for a variety of applications. Also, extensive MOEA discussion questions and possible research directions are presented at the end of each chapter. For additional information and supplementary teaching materials, please visit the authors' website at http://www.cs.cinvestav.mx/~EVOCINV/bookinfo.html.
Book Synopsis Evolutionary Optimization by : Ruhul Sarker
Download or read book Evolutionary Optimization written by Ruhul Sarker and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.
Book Synopsis Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles by : Runqi Chai
Download or read book Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles written by Runqi Chai and published by Springer Nature. This book was released on 2023-10-29 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the design and application of advanced trajectory optimization and guidance and control (G&C) techniques for aerospace vehicles. Part I of the book focuses on the introduction of constrained aerospace vehicle trajectory optimization problems, with particular emphasis on the design of high-fidelity trajectory optimization methods, heuristic optimization-based strategies, and fast convexification-based algorithms. In Part II, various optimization theory/artificial intelligence (AI)-based methods are constructed and presented, including dynamic programming-based methods, model predictive control-based methods, and deep neural network-based algorithms. Key aspects of the application of these approaches, such as their main advantages and inherent challenges, are detailed and discussed. Some practical implementation considerations are then summarized, together with a number of future research topics. The comprehensive and systematic treatment of practical issues in aerospace trajectory optimization and guidance and control problems is one of the main features of the book, which is particularly suitable for readers interested in learning practical solutions in aerospace trajectory optimization and guidance and control. The book is useful to researchers, engineers, and graduate students in the fields of G&C systems, engineering optimization, applied optimal control theory, etc.
