نتایج جستجو برای: unconscious search algorithm

تعداد نتایج: 986194  

Journal: :Frontiers in Human Neuroscience 2011

Mahdi Sedghi, Masoud Aliakbar-Golkar,

Optimal expansion of medium-voltage power networks is a common issue in electrical distribution planning. Minimizing total cost of the objective function with technical constraints and reliability limits, make it a combinatorial problem which should be solved by optimization algorithms. This paper presents a new hybrid simulated annealing and tabu search algorithm for distribution network expan...

K.S. Lee, S.W. Han, Z.W. Geem,

Many methods have been developed for structural size and configuration optimization in which cross-sectional areas are usually assumed to be continuous. In most practical structural engineering design problems, however, the design variables are discrete. This paper proposes two efficient structural optimization methods based on the harmony search (HS) heuristic algorithm that treat both discret...

Journal: :journal of advances in computer research 2015
mehran taghipour-gorjikolaie seyyed mohammad razavi mohammad ali shamsinejad

extension of inter-turn fault in windings of pmsm can damage all parts of electrical systems, and in some cases in sensitive applications may lead to irreparable events. identification of such small faults at incipient steps can be so helpful to protect entire part of electrical system. in this paper, intelligent protection system is designed which is made by two major parts. in the first part ...

L.J. Li, S.K. Zeng,

Based on introducing two optimization algorithms, group search optimization (GSO) algorithm and particle swarm optimization (PSO) algorithm, a new hybrid optimization algorithm which named particle swarm-group search optimization (PS-GSO) algorithm is presented and its application to optimal structural design is analyzed. The PS-GSO is used to investigate the spatial truss structures with discr...

ژورنال: محاسبات نرم 2019

In this paper, a hybrid multi-objective algorithm consisting of features of genetic and firefly algorithms is presented. The algorithm starts with a set of fireflies (particles) that are randomly distributed in the solution space; these particles converge to the optimal solution of the problem during the evolutionary stages. Then, a local search plan is presented and implemented for searching s...

Journal: :International Journal of Advanced Research in Artificial Intelligence 2014

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