Parallel Direct Search Methods [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 Mostly minimization or maximization of a function is very expensive. Since function evaluation of the objective function requires a considerable time.
Bashir Khalaf, Mohammed Al-Neama
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Direct, indirect and intangible costs incurred by leptospirosis patients: the magnitude, aspects and methods of assessing the costs – a systematic review and meta-analysis protocol [PDF]
BMJ OpenIntroduction Leptospirosis is a significant public health concern worldwide, as it imposes a substantial economic burden on the global economy. Despite a comprehensive search of the relevant literature, few studies evaluating the economic burden ...
Nuwan Darshana Wickramasinghe +4 more
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Policy search with rare significant events: Choosing the right partner to cooperate with
PLoS ONE, 2022 This paper focuses on a class of reinforcement learning problems where significant events are rare and limited to a single positive reward per episode.
Paul Ecoffet +3 more
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Out of the Niche: Using Direct Search Methods to Find Multiple Global Optima
Mathematics, 2022 Multimodal optimization deals with problems where multiple feasible global solutions coexist. Despite sharing a common objective function value, some global optima may be preferred to others for various reasons.
Javier Cano +3 more
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Less is more: Simplified Nelder-Mead method for large unconstrained optimization [PDF]
Yugoslav Journal of Operations Research, 2018 Nelder-Mead method (NM) for solving continuous non-linear optimization problem is probably the most cited and the most used method in the optimization literature and in practical applications, too.
Gonçalves-E-Silva Kayo +3 more
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Interactive statistical computer program for multiple non-linear curves fitting using stochastic algorithms [PDF]
Computational Ecology and Software, 2021 An interactive computer program for multiple nonlinear curves fitting has been developed in this work. Several optimization algorithms have been implemented in this software for solving constrained and unconstrained nonlinear optimization models in order
Muhammad Tlas +2 more
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Two decades of blackbox optimization applications
EURO Journal on Computational Optimization, 2021 This article reviews blackbox optimization applications of direct search optimization methods over the past twenty years. Emphasis is placed on the Mesh Adaptive Direct Search (Mads) derivative-free optimization algorithm.
Stéphane Alarie +4 more
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Direct Search Methods on Parallel Machines [PDF]
SIAM Journal on Optimization, 1991 Summary: This paper describes an approach to constructing derivative-free algorithms for unconstrained optimization that are easy to implement on parallel machines. A special feature of this approach is the ease with which algorithms can be generated to take advantage of any number of processors and to adapt to any cost ratio of communication to ...
Dennis, J. E. jun., Torczon, Virginia
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Genetic Algorithms as Computational Methods for Finite-Dimensional Optimization
Кібернетика та комп'ютерні технології, 2021 Introduction. As early as 1744, the great Leonhard Euler noted that nothing at all took place in the universe in which some rule of maximum or minimum did not appear [12].
Nataliya Gulayeva +2 more
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Applied Sciences, 2023 This work aims to offer an analysis of empirical research on the automatic learning methods used in detecting microRNA (miRNA) as potential markers of breast cancer.
Jorge Alberto Contreras-Rodríguez +3 more
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