نتایج جستجو برای: group search optimization gso

تعداد نتایج: 1529865  

Journal: Gas Processing 2013

The synthesis of heat integrated multi-component distillation systems is complex due to its huge search space for structural combination and optimization computation. To provide a systematic approach and tools for the synthesis design of distillation systems, a new method for modeling heat integrated columns is presented, and the operating cost objective function is minimized by improved harmon...

2001
Alon E. Faraggi

There has been recently a surge of interest in Grand Unified Theories on orbifolds of higher dimensional spaces. In particular, the higher dimensional doublet–triplet splitting mechanism has been of much interest. I revisit the superstring doublet–triplet splitting mechanism in which the color triplets are projected out by the GSO projections, while leaving the electroweak doublets in the physi...

2014
Dan Wang Congcong Xiong Wei Huang

We propose a diversity-guided group search optimizer-based approach for solving the location management problem in mobile computing. The location management problem, which is to find the optimal network configurations of management under the mobile computing environment, is considered here as an optimization problem. The proposed diversity-guided group search optimizer algorithm is realized wit...

Journal: :Food Chemistry 2022

The chemical and thermal characteristics of goldenberry pomace oil (GPO) seed (GSO) were investigated. GPO GSO contained high levels unsaturated fatty acids (90.1% 85.1%, respectively), the major acid was linoleic (62.0% 72.8%, respectively). Additionally, eleven triacylglycerol (TAG) species, three which represented 82.7%, namely C54:6, C54:4 C52:4, trilinolein dominant one (35.5%). nine TAG t...

Journal: :AIP Advances 2023

Epitaxial growth of Ba0.7Sr0.3TiO3 (BST70) thin films on GdScO3 (GSO) substrates had been realized using the radio frequency magnetron sputtering system with epitaxial alignment [001]BST70||[110]GSO and [010]BST70||[001]GSO. Reciprocal space mapping transmission electron microscope results confirm without an impurity phase at interface. The Fourier-filtered image shows that BST70 film grew well...

Journal: :journal of advances in computer research 0

this paper proposes a novel hybrid algorithm namely apso-bfo which combines merits of bacterial foraging optimization (bfo) algorithm and adaptive particle swarm optimization (apso) algorithm to determine the optimal pid parameters for control of nonlinear systems. to balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...

Behrooz Masoomi Seyed Hossein Mirshojaei,

Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extr...

Alireza Kabirian

Discrete-event simulation based optimization is the process of finding the optimum design of a stochastic system when the performance measure(s) could only be estimated via simulation. Randomness in simulation outputs often challenges the correct selection of the optimum. We propose an algorithm that merges Ranking and Selection procedures with a large class of random search methods for continu...

Journal: :Journal of Fundamental and Applied Sciences 2023

This paper exposes a comparative study that was made between the adaptive particle swarm optimization (APSO) and hybrid model genetical optimizer approaches (GSO) for synthesis of 1-D equally spaced annular ring antenna arrays both TM11 TM12 modes. The uniform is designed as mono objective problem. employed techniques are compared in terms convergence rate side lobes level reduction. Several or...

N. Ghazanfari, M. Yaghini,

  The clustering problem under the criterion of minimum sum of squares is a non-convex and non-linear program, which possesses many locally optimal values, resulting that its solution often falls into these trap and therefore cannot converge to global optima solution. In this paper, an efficient hybrid optimization algorithm is developed for solving this problem, called Tabu-KM. It gathers the ...

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