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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A Direct Search Algorithm for Global Optimization
Algorithms, 2016 A direct search algorithm is proposed for minimizing an arbitrary real valued function. The algorithm uses a new function transformation and three simplex-based operations.
Enrique Baeyens +2 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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New methods for developing parallel algorithms of direct search in numerical optimization [PDF]
مجلة التربية والعلم, 2013 The Purpose of this research is the development Direct Search Methods for minimizing the objective function; The Developed Methods reduces the approach time to the minimum through two techniques: 1) by reducing the number of function evaluation.
Firas Mahmood Saeed +1 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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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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Comparing variable neighbourhood search algorithms for the direct aperture optimisation in radiotherapy [PDF]
PeerJ Computer ScienceIntensity modulated radiation therapy (IMRT) is a prevalent approach for administering radiation therapy in cancer treatment. The primary objective of IMRT is to devise a treatment strategy that eradicates cancer cells from the tumour while minimising ...
Mauricio Moyano +5 more
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