Results 11 to 20 of about 6,941,251 (285)
On testing global optimization algorithms for space trajectory design [PDF]
, 2008 In this paper we discuss the procedures to test a global search algorithm applied to a space trajectory design problem. Then, we present some performance indexes that can be used to evaluate the effectiveness of global optimization algorithms.
Marco Locatelli +10 more
core +14 more sources
Testing approaches for global optimization of space trajectories [PDF]
, 2008 In this paper the procedures to test global search algorithms applied to space trajectory design problems are discussed. Furthermore, a number of performance indexes that can be used to evaluate the effectiveness of the tested algorithms are presented.
Vasile, M. +7 more
core +12 more sources
A hybrid multiagent approach for global trajectory optimization [PDF]
, 2008 In this paper we consider a global optimization method for space trajectory design problems. The method, which actually aims at finding not only the global minimizer but a whole set of low-lying local minimizers(corresponding to a set of different design
Vasile, M. +4 more
core +1 more source
Global Optimization on an Interval [PDF]
Journal of Optimization Theory and Applications, 2016 The problem is that of finding all global maxima of a continuously differentiable real valued objective function \(F(t)\) in a closed interval \([0, T]\) (this includes possible maxima on the boundary). For this, two auxiliary functions or \textit{adjoint variables} \(x(t),\) \(y(t)\) are introduced, solution of the initial value problems \[ x'(s ...
openaire +3 more sources
Distributed global optimization (DGO) [PDF]
Proceedings of International Conference on Neural Networks (ICNN'96), 2002 A new technique of global optimization and its applications in particular to neural networks are presented. The algorithm is also compared to other global optimization algorithms such as Gradient descent (GD), Monte Carlo (MC), Genetic Algorithm (GA) and other commercial packages.
Homayoun Valafar +2 more
openaire +3 more sources
Mountain Segmentation Based on Global Optimization with the Cloth Simulation Constraint
Remote Sensing, 2023 Mountains are an important research object for surveying, mapping, cartography, space science, and ecological remote sensing. Automatic mountain segmentation is one of the most critical techniques in large-scale mountain analyses.
Lekang Wen, Jun He, Xu Huang
doaj +1 more source
Global Optimality in Low-Rank Matrix Optimization [PDF]
IEEE Transactions on Signal Processing, 2017 This paper considers the minimization of a general objective function $f(X)$ over the set of rectangular $n\times m$ matrices that have rank at most $r$. To reduce the computational burden, we factorize the variable $X$ into a product of two smaller matrices and optimize over these two matrices instead of $X$. Despite the resulting nonconvexity, recent
Zhihui Zhu +3 more
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A Novel Chimp Optimization Algorithm with Refraction Learning and Its Engineering Applications
Algorithms, 2022 The Chimp Optimization Algorithm (ChOA) is a heuristic algorithm proposed in recent years. It models the cooperative hunting behaviour of chimpanzee populations in nature and can be used to solve numerical as well as practical engineering optimization ...
Quan Zhang +5 more
doaj +1 more source
A hybrid multiagent approach for global trajectory optimization [PDF]
, 2009 In this paper we consider a global optimization method for space trajectory design problems. The method, which actually aims at finding not only the global minimizer but a whole set of low-lying local minimizers (corresponding to a set of different ...
Vasile, Massimiliano, Locatelli, Marco
core +2 more sources
Mathematics, 2022 Quadratically constrained quadratic programs (QCQP), which often appear in engineering practice and management science, and other fields, are investigated in this paper.
Chenyang Hu +3 more
doaj +1 more source