Model identification is one of the most important requirements for advanced control systems. Fast response and quick disturbance recovery of an advanced controller [1, 2] cannot be achieved without an accurate model of the plant. Although after years of development linear methods for model identification [3 5] have become mature, nonlinear identification methods are still needed in high perform...

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...

The stress behavior of key parts concrete dams is related to the safe operation dam. However, sensors in are susceptible aging and failure with increasing service life. Estimating structural under sensor or data loss scenarios for essential complex. This study presents a estimation method driven by observation data. Firstly, one-to-one correspondence exists between dam deformation reflecting lo...

This dissertation is a study on the use of swarm methods for optimization, and is divided into three main parts. In the first part, two novel swarm metaheuristic algorithms—named Survival Sub-swarms Adaptive Particle Swarm Optimization (SSS-APSO) and Survival Sub-swarms Adaptive Particle Swarm Optimization with velocity-line bouncing (SSS-APSO-vb)—are developed. These new algorithms present sel...

A total of 45 blood samples from progeny and the putative parents were tested for parentage analysis using a panel of microsatellite markers (short tandem repeats). Six breeds of dogs were represented viz. German shepherd, Dalmatian, Labrador, Great Dane, Boxer and Lhasa Apso in this study for genotype analysis. Ten different microsatellite marker loci were amplified by multiplex PCR. The multi...

Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resources and appropriate constraints. Recent developments in support vector machine and metaheuristics show many advantages of these techniques. In particular, particle swarm optimization is now widely used in solving tough ...

بخش اورژانس یکی از شلوغ‌ترین بخش‌های یک بیمارستان است و بهبود عملکرد این تأثیر بسیاری در کیفیت ارائه خدمات دارد. اخیراً پژوهشگران به­‌دلیل تمرکز مهندسی تاب‌آوری مدیریت ناب بر کارایی سیستم‌ها توجه بسیار زیادی به دو دیدگاه کنار یکدیگر داشته‌اند. هدف پژوهش، رویکردی یکپارچه برای ارزیابی مبتنی شاخص‌های با ارتقای رضایت شغلی کاهش هزینه‌های درمانی واحد خصوصی است. منظور، ابتدا شناسایی مؤثر، مدل مفهومی مس...