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[PDF] Top 20 An incremental approach to the solution of global trajectory optimization problems

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An incremental approach to the solution of global trajectory optimization problems

An incremental approach to the solution of global trajectory optimization problems

... The solution of the MGA problem was already tackled and solved for some specific cases with a hybrid stochastic-deterministic optimizer for black-box problems ...dependent approach, in which the grid ... See full document

16

A Novel Approach Based on Reinforcement Learning for Finding Global Optimum

A Novel Approach Based on Reinforcement Learning for Finding Global Optimum

... novel approach to optimizing any given mathematical function, called the MOdified REinforcement Learning Algorithm (MORELA), is ...decision problems, it can be used with some improvements to optimize ... See full document

21

An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization

An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization

... An algorithm for surrogate-based multi-objective worst- case optimization has been presented. The algorithm, called MACSν, has the peculiarity of performing a number of checks and cross checks to increase the ... See full document

8

Testing approaches for global optimization of space trajectories

Testing approaches for global optimization of space trajectories

... used global optimization tech- niques to find optimal solutions to space trajectory design ...a global method is difficult to appreciate, in particular when stochastic based techniques are ... See full document

10

Recent Advances in Global Optimization for Combinatorial Discrete Problems

Recent Advances in Global Optimization for Combinatorial Discrete Problems

... The optimization of discrete problems is largely encountered in engineering and information do- ...these problems with continuous-variables approach then convert the continuous variables to ... See full document

15

Incremental solution of LTMGA transfers transcribed with an advanced shaping approach

Incremental solution of LTMGA transfers transcribed with an advanced shaping approach

... an incremental pruning technique is employed in this study. Incremental pruning has been proposed by Becerra et ...The approach exploits the decoupling of the transfer arcs offered by the powered ... See full document

12

On testing global optimization algorithms for space trajectory design

On testing global optimization algorithms for space trajectory design

... a global search algorithm applied to a space trajectory design ...of global optimization ...of global optimization algorithms are tested on four typical space trajectory ... See full document

25

A hybrid multiagent approach for global trajectory optimization

A hybrid multiagent approach for global trajectory optimization

... a solution even close to the best solution found so ...start approach is as effective as DE and how both DE and PSO yield similar results, in both cases better than ... See full document

24

On the solution of min-max problems in robust optimization

On the solution of min-max problems in robust optimization

... robust solution and provide a lower limit on the achiev- able performance of the ...The optimization of the worst case scenario translates into the solution of a global min-max problem in ... See full document

6

An OR practitioner’s solution approach to the multidimensional knapsack problem   Pages 73-82
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An OR practitioner’s solution approach to the multidimensional knapsack problem Pages 73-82 Download PDF

... Teaching-learning-based optimization (TLBO) metaheuristic is a two-phase population-based metaheuristic designed to solve continuous nonlinear optimization ...design optimization problems ... See full document

10

A multisine approach for trajectory optimization based on information gain

A multisine approach for trajectory optimization based on information gain

... constrained optimization of a multi-objective criterion with respect to a sequence of ...of problems arise and the methods for their solution can be classified in two groups: i) the sequence of ... See full document

15

Backward Hole-Flanging Technology Using an Incremental Approach

Backward Hole-Flanging Technology Using an Incremental Approach

... Generally, hole-flanging is a process used to displace the material around a hole in a flat sheet to form symmetrical or asymmetrical necks or flanges. The BIHF process presented in this investigation is based on ... See full document

8

Structuralism as an Approach to the Theoretical Construction of Poetic Narratology

Structuralism as an Approach to the Theoretical Construction of Poetic Narratology

... Multidisciplinary Approach to Poetic Narratology in which the author argued with Brian Richardson over the so-called narrative imperialism by inspiring the scholars in the field of poetic narratology to try to ... See full document

22

Enabling autonomous flight capabilities onboard commercial aircraft to improve safety

Enabling autonomous flight capabilities onboard commercial aircraft to improve safety

... the trajectory primitives is currently done manually: it would be desirable to obtain formal criteria defining the ‘optimal’ choice of primitives, trading off the complexity of the resulting automaton with the ... See full document

10

Multiscale Multilevel Approach to Solution of Nanotechnology Problems

Multiscale Multilevel Approach to Solution of Nanotechnology Problems

... two-level approach to calculating the real gas flows in the microchannels of technical systems, applied in a wide range of Knudsen numbers, was presented in ...This approach is based on a combination of MCM ... See full document

8

A global method for some class of optimization and control problems

A global method for some class of optimization and control problems

... the global optimality condition [13] for the problem of maximizing a convex ...the global optimality condition for solving the problem and show convergence of the ... See full document

12

A General Iterative Approach to Variational Inequality Problems and Optimization Problems

A General Iterative Approach to Variational Inequality Problems and Optimization Problems

... We introduce a new general iterative scheme for finding a common element of the set of solutions of variational inequality problem for an inverse-strongly monotone mapping and the set of fixed points of a nonexpansive ... See full document

20

Optimization of the Dynamic Balance of an Aileron

Optimization of the Dynamic Balance of an Aileron

... Thereafter, the calculated position of the aileron’s centre of gravity was compared with the measurements (Table 1). The centre of gravity of the aileron without the balance weight was e[r] ... See full document

8

A Novel Adaptive Dragonfly Algorithm for Global Optimization Problems

A Novel Adaptive Dragonfly Algorithm for Global Optimization Problems

... In the meta-heuristic algorithms, randomization play a very important role in both exploration and exploitation where more strengthen randomization techniques are Markov chains, Levy flights and Gaussian or normal ... See full document

13

Decomposition and Parallel Solution of Network-Structured Optimization Problems

Decomposition and Parallel Solution of Network-Structured Optimization Problems

... The decomposition is particularly suitable for vector multiprocessor systems. We de­ velop a parallel implementation of the linear-quadratic penalty algorithm. Numerical results with a set of large linear multicommodity ... See full document

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