In this paper a particle swarm optimization (PSO) algorithm is presented to design a compact stepped triangle shape antenna in order to obtain the proper UWB bandwidth as defined by FCC. By changing the various cavity dimensions of the antenna, data to develop PSO program in MATLAB is achieved. The results obtained from the PSO algorithm are applied to the antenna design to fine-tune the bandwi...

The topic of simulation–optimization has not been fundamentally tackled by many continuous-time modeling and simulation tools, yet. Common simulation-based optimization problems are usually coupled with standard optimization algorithms like any other simulation-free nonlinear optimization problems. While such couplings are usually based on many state-of-the-art software engineering concepts wit...

Figure 1: Adaptive Cruise Control With the increasing number of ECUs in modern automotive applications (70 in high end cars), designers are facing the challenge of managing complex design tasks, such as the allocation of software tasks over a network of ECUs. The allocation may be dictated by different attributes ( performance, cost, size, etc.). The task of validating a given allocation can be...

Simulation-based optimization with multiple objectives is a challenging problem that is relevant in a broad range of application domains. A common characteristic of these problems is that they are computationally expensive because (i) the size of the search space is vast for nontrivial problem instances and (ii) the simulation-based evaluation of each candidate solution is runtime-intensive. Mu...

The purpose of this short note is to consider much shorter and nicer proofs about fixed point results on b-metric spaces via b-simulation function introduced very recently by Demma et al. [M. Demma, R. Saadati, P. Vetro, emph{Fixed point results on b-metric space via Picard sequences and b-simulation functions}, Iranian J. Math. Sci. Infor. 11 (1) (2016) 123--136].

Determination of optimum location for drilling a new well not only requires engineering judgments but also consumes excessive computational time. Additionally, availability of many physical constraints such as the well length, trajectory, and completion type and the numerous affecting parameters including, well type, well numbers, well-control variables prompt that the optimization approaches b...

The bubble effectiveness in liquid phase cylohexane non-catalytic oxidation process is discussed in this paper. Then the bubble effectiveness and a new proposed kinetic model are used in the mathematical model of the industrial reactor for the cyclohexane non-catalytic oxidation process. Furthermore, simulation and optimization based on this reactor model are carried out. The results of sim...

One way to increase productivity is throughputs without using more resources. In this paper, the issue of optimal sequence products in a job shop scheduling raised, which has many uncertainties such as downtime, development time, etc. key factors affect operation time number reworks. The reworks based on metallurgical parameters, their operations according defects count, and process are quite p...

Based on MATLAB/SimEvents simulation platform and genetic algorithm, the simulation and optimization of energy consumption in hybrid flow shop is studied. Considering workshop layout and workpiece path, machining process simulation in hybrid flow shop is realized. With the processing time, processing power and stand-by power introduced into simulation model, the energy consumption simulation in...

The use of measurements to compensate for model uncertainty has received increasing attention in the context of process optimization. The idea consists of iteratively using the measurements for identifying model parameters and the updated model for optimization. This paper investigates the convergence of various iterative identification and optimization schemes in the presence of model mismatch...