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
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Method for determining estimates of random variable models for describing phase equilibrium in rectification processes [PDF]
E3S Web of ConferencesThe phase equilibrium modeling for multi-component systems is essential in process systems engineering. In particular, phase stability analysis, Gibbs free energy minimization and estimation of parameters in thermodynamic models are challenging global ...
Mukhitdinov Djaloliddin +3 more
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Multi-Time Scale Smoothed Functional With Nesterov’s Acceleration
IEEE Access, 2021 Smoothed functional (SF) algorithm estimates the gradient of the stochastic optimization problem by convolution with a smoothening kernel. This process helps the algorithm to converge to a global minimum or a point close to it.
Abhinav Sharma +3 more
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Concurrent stochastic methods for global optimization [PDF]
Mathematical Programming, 1990 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Richard H. Byrd +3 more
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Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies [PDF]
, 2012 This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO.
Günay, Akın +6 more
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On Benchmarking Stochastic Global Optimization Algorithms
Informatica, 2015 A multitude of heuristic stochastic optimization algorithms have been described in literature to obtain good solutions of the box-constrained global optimization problem often with a limit on the number of used function evaluations. In the larger question of which algorithms behave well on which type of instances, our focus is here on the benchmarking ...
Hendrix, E.M.T., Lancinskas, A.
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Stability and sensitivity analysis of stochastic programs with second order dominance constraints [PDF]
, 2010 In this paper we present stability and sensitivity analysis of a stochastic optimization problem with stochastic second order dominance constraints. We consider perturbation of the underlying probability measure in the space of regular measures equipped ...
Xu, Huifu +3 more
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An Accelerated Method For Decentralized Distributed Stochastic Optimization Over Time-Varying Graphs
, 2022 We consider a distributed stochastic optimization problem that is solved by a decentralized network of agents with only local communication between neighboring agents. The goal of the whole system is to minimize a global objective function given as a sum
Dvurechensky, Pavel +4 more
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A global stochastic optimization particle filter algorithm [PDF]
Biometrika, 2021 SummaryWe introduce a new online algorithm for expected loglikelihood maximization in situations where the objective function is multimodal or has saddle points. The key element underpinning the algorithm is a probability distribution that concentrates on the target parameter value as the sample size increases and can be efficiently estimated by means ...
Gerber, Mathieu, Douc, Randal
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Mathematics, 2022 This paper contains two main parts, Part I and Part II, which discuss the local and global minimization problems, respectively. In Part I, a fresh conjugate gradient (CG) technique is suggested and then combined with a line-search technique to obtain a ...
Khalid Abdulaziz Alnowibet +4 more
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