نتایج جستجو برای: الگوریتم nelder mead
تعداد نتایج: 24172 فیلتر نتایج به سال:
Nature-inspired algorithms are proving to be very successful on complex optimisation problems. A new algorithm, inspired by the way plants, and in particular the strawberry plant, propagate is presented. The algorithm is explained, tested on standard test functions, and compared with the well known Nelder-Mead algorithm. The new approach is then applied to a complex process design problem that ...
In this paper a hybrid algorithm based on exploration power of the Genetic algorithms and exploitation capability of Nelder Mead simplex is presented for global optimization of multi-variable functions. Some modifications are imposed on genetic algorithm to improve its capability and efficiency while being hybridized with Simplex method. Benchmark test examples of structural optimization with a...
In this paper we investigate the application of the Nelder– Mead simplex method to approximate poles of complex rational functions. To our knowledge, there isn’t any algorithm which is able to find the poles of a function when only the values on the unit circle are given. We will show that this method can accurately approximate 1, 2 or even 3 poles without any preliminary knowledge of their loc...
با توجه به زمانبر بودن واسنجی دستی به ویژه در شرایط دادههای کم و پارامترهای زیاد، روش های واسنجی خودکار مبتنی بر استفاده از روشهای جستجوی سیستماتیک در فضای چند بعدی با استفاده از یک تابع هدف بسیار سودمند میباشند. در این مطالعه مدل شبیهساز HEC-HMS و الگوریتم هوش جمعیPSO به عنوان مدل بهینهساز عمل میکنند. مدل تلفیقی بدست آمده در حوضه سد کارده مورد بررسی قرار گرفته است. واسنجی مدل با استفا...
In this paper, solving optimal power flow problem has been investigated by using hybrid particle swarm optimization and Nelder Mead Algorithms. The goal of combining Nelder-Mead (NM) simplex method and particle swarm optimization (PSO) is to integrate their advantages and avoid their disadvantages. NM simplex method is a very efficient local search procedure but its convergence is extremely sen...
In this research, a study was carried out to exploit the hybrid schemes combining two classical local search techniques i.e. Nelder–Mead simplex search method and bidirectional random optimization with two metaheuristic methods i.e. the shuffled frog leaping and the shuffled complex evolution, respectively. In this hybrid methodology, each subset of meta-heuristic algorithms is improved by a hy...
Several local search algorithms for real-valued domains (axis parallel line search, Nelder-Mead simplex search, Rosenbrock's algorithm, quasi-Newton method, NEWUOA, and VXQR) are described and thoroughly compared in this article, embedding them in a multi-start method. Their comparison aims (1) to help the researchers from the evolutionary community to choose the right opponent for their algori...
This work is concerned with registration of ultrasound volumes acquired using a mechanicallyswept 3D probe to produce extended-field-of-view images. While the registration can be achieved by attaching a position sensor to the probe, this can be an inconvenience in a clinical setting and aligns the volumes incorrectly if there is tissue motion due to subject movement or respiratory motion. The o...
A new hybridization of the Cuckoo Search (CS) is developed and applied to optimize multicell solar systems; namely multi-junction and split spectrum cells. The new approach consists of combining the CS with the Nelder-Mead method. More precisely, instead of using single solutions as nests for the CS, we use the concept of a simplex which is used in the NelderMead algorithm. This makes it possib...
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