نتایج جستجو برای: group search optimization gso
تعداد نتایج: 1529865 فیلتر نتایج به سال:
مسأله بهینه سازی با قیود محدب بعنوان یکی از مسائل مهم و اساسی در بهینه سازی مطرح میباشد. مسائل برنامه ریزی خـطی حالــت خاصی از چنین مسائلی می باشند. در اینجا مسأله بهینه سازی غیرخــطی با قیود محدب، در حالتی بیان میشود که قیود محدب را بصورت قیود کراندار ساده داشته باشیم. یعنی، تنها متغیرهای مسأله از بالا و پایین کراندار باشند. در چند دهه اخیر روش های بسیاری (روش های یکنوا و غیریکنوا ) برای حل ای...
this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...
We present theoretical foundations for a variation of the multi-agent rendezvous problem involving design of local control strategies that enable agent swarms, with hard-limited sensing ranges, to split into disjoint subgroups, exhibit simultaneous taxis behavior toward, and eventually rendezvous at, multiple unknown locations of interest. The algorithm used to solve the above problem is based ...
This paper focuses on the allocation of channel resources in cognitive radio system. Here, Cognitive (RRM) technology is envisaged to solve the problems in wireless networks resulting from the limited available spectrum. RRM developmental growth is high in advanced generations .Moreover, this paper focus on proposing an improved version of the recently introduced optimization algorithm called a...
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...
in this work, harmony search meta-heuristic optimization algorithm has been developed for aerodynamic shape optimization problem for the first time. the aerodynamic shape, which has been investigated, is an airfoil with parces method for its shape parameterization. the problem was minimization of aerodynamic objective function using inverse design method and the objective function has been the ...
The GSO projection in the twisted sector of orbifold background is sometimes subtle and incompatible descriptions are found in literatures. Here, from the equivalence of partition functions in NSR and GS formalisms, we give a simple rule of GSO projection for the chiral rings of string theory in C/Zn, r = 1, 2, 3. Necessary constructions of chiral rings are given by explicit mode analysis. ∗Wor...
Nowadays, the Long-Term Evolution-Advanced system is widely used to provide 5G communication due its improved network capacity and less delay during communication. The main issues in are insufficient user resources burst errors, because it creates losses data transmission. In order overcome this, an effective Radio Resource Management (RRM) required be developed network. this paper, Long Short-...
A necessary step when developing next generation systems is to understand the tasks that operators will perform. One NextGen concept under evaluation termed Single Pilot Operations (SPO) is designed to improve the efficiency of airline operations. This SPO concept includes a Pilot on Board (PoB), a Ground Station Operator (GSO), and automation. A number of procedural changes are likely to resul...
A Framework for Adapting Population-Based and Heuristic Algorithms for Dynamic Optimization Problems
In this paper, a general framework was presented to boost heuristic optimization algorithms based on swarm intelligence from static to dynamic environments. Regarding the problems of dynamic optimization as opposed to static environments, evaluation function or constraints change in the time and hence place of optimization. The subject matter of the framework is based on the variability of the ...
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