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Rotorcraft low-noise trajectories design: black-box optimization using surrogates
This paper addresses the noise-minimal trajectory optimization problem for a specific type of aircraft: rotorcraft. It relies on a realistic noise...
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An integrated rolling horizon and adaptive-refinement approach for disjoint trajectories optimization
Planning for multiple commodities simultaneously is a challenging task arising in divers applications, including robot motion or various forms of...
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Optimization in Machine Learning: a Distribution-Space Approach
We present the viewpoint that optimization problems encountered in machine learning can often be interpreted as minimizing a convex functional over a...
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Optimal Control of Sources with Feedback with Optimization of the Placement of Measurement Points Along Given Trajectories
In this paper, we study the problem of synthesizing the optimal control of the power of point-wise heat sources for heating a two-dimensional plate....
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Unconstrained Direct Optimization of Spacecraft Trajectories Using Many Embedded Lambert Problems
Direct optimization of many-revolution spacecraft trajectories is performed using an unconstrained formulation with many short-arc, embedded Lambert...
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Optimization of Multi-revolution Limited Power Trajectories Using Angular Independent Variable
Optimization of low-thrust trajectories is necessary in the design of space missions using electric propulsion systems. We consider the problem of...
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Planning of multiple coexisting trajectories for autonomous vehicles based on self-organizing maps
In this work, we propose an algorithm for generating multiple simultaneous trajectories focusing on covering a given area for surveillance...
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Optimal Space Trajectories with Multiple Coast Arcs Using Modified Equinoctial Elements
The detection of optimal trajectories with multiple coast arcs represents a significant and challenging problem of practical relevance in space...
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Unsupervised Optimization of Laser Beam Trajectories for Powder Bed Fusion Printing and Extension to Multiphase Nucleation Models
In laser powder bed fusion, it is known that the quality of printing results crucially depends on the temperature distribution and its gradient over...
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On the convergence of the trajectories of the dynamical Moudafi’s viscosity approximation system
We study the asymptotic behavior of trajectories of the continuous dynamical system(CDS) associated with the discrete viscosity approximation method...
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Solving Maxmin Optimization Problems via Population Games
Population games are games with a finite set of available strategies and an infinite number of players, in which the reward for choosing a given...
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Multi-Phase Trajectory Optimization for Alpine Skiers Using an Improved Retractable Body Model
In this paper, an improved retractable body model (IRBM) is established, which has an advantage in simulating the flexion-and-extension motion of...
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Approximate Methods for Solving Chance-Constrained Linear Programs in Probability Measure Space
A risk-aware decision-making problem can be formulated as a chance-constrained linear program in probability measure space. Chance-constrained linear...
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An Eikonal Equation with Vanishing Lagrangian Arising in Global Optimization
We show a connection between global unconstrained optimization of a continuous function f and weak KAM theory for an eikonal-type equation arising...
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Optimization and Identification of Stochastic Systems*
The author overviews some well-known scientific results from the theory of stochastic optimization and theory of risk, obtained by the Academician of...
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Distributed Heterogeneous Multi-Agent Optimization with Stochastic Sub-Gradient
This paper studies the optimization problem of heterogeneous networks under a time-varying topology. Each agent only accesses to one local objective...
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Fixed-Time Cluster Consensus for Multi-Agent Systems with Objective Optimization on Directed Networks
This paper studies the cluster consensus of multi-agent systems (MASs) with objective optimization on directed and detail balanced networks, in which...
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Synthesis of Trajectory Planning Algorithms Using Evolutionary Optimization Algorithms
The article considers the problem of planning the optimal trajectory of a delta robot. The workspace of the robot is limited by the range of...