Optimization with a Genetic Algorithm for Multilayer Electromagnetic Wave Absorption Cement Mortar Filled with Expended Perlite
نویسندگان
چکیده
Abstract: Due to the complexity of design multilayer electromagnetic (EM) wave absorbing materials, it is difficult establish relationship between material parameters (type and filling ratios) EM properties using traditional trial error methods. Based on measured within a few materials Boltzmann mixing theory, database was thereafter built up. In this study, genetic algorithm (GA) used wave-absorbing cement mortar. order verify method, mortar fabricated measured. The simulated results are well consistent, which convincingly verifies computer-aided design. addition, optimized result expresses that first layer as matching guides waves into interior material, while other layers absorption attenuate waves. may not meet impedance gradient principle but still exhibits better performance. reflection loss (RL) all three sample below –6.89 dB in full frequency band minimum RL –26.21 dB. This composite GA method provide more ideas for future cement-based save lot time cost.
منابع مشابه
Hybrid Genetic Algorithm for Electromagnetic Topology Optimization
This paper proposes a hybrid genetic algorithm (GA) for electromagnetic topology optimization. A two-dimensional (2-D) encoding technique, which considers the geometrical topology, is first applied to electromagnetics. Then, a 2-D geographic crossover is used as the crossover operator. A novel local optimization algorithm, called the on/off sensitivity method, hybridized with the 2-D encoded GA...
متن کاملA Hybrid Particle Swarm Optimization and Genetic Algorithm for Truss Structures with Discrete Variables
A new hybrid algorithm of Particle Swarm Optimization and Genetic Algorithm (PSOGA) is presented to get the optimum design of truss structures with discrete design variables. The objective function chosen in this paper is the total weight of the truss structure, which depends on upper and lower bounds in the form of stress and displacement limits. The Particle Swarm Optimization basically model...
متن کاملAirfoil Shape Optimization with Adaptive Mutation Genetic Algorithm
An efficient method for scattering Genetic Algorithm (GA) individuals in the design space is proposed to accelerate airfoil shape optimization. The method used here is based on the variation of the mutation rate for each gene of the chromosomes by taking feedback from the current population. An adaptive method for airfoil shape parameterization is also applied and its impact on the optimum desi...
متن کاملHybrid ANFIS with ant colony optimization algorithm for prediction of shear wave velocity from a carbonate reservoir in Iran
Shear wave velocity (Vs) data are key information for petrophysical, geophysical and geomechanical studies. Although compressional wave velocity (Vp) measurements exist in almost all wells, shear wave velocity is not recorded for most of elderly wells due to lack of technologic tools. Furthermore, measurement of shear wave velocity is to some extent costly. This study proposes a novel methodolo...
متن کاملAn optimization technique for vendor selection with quantity discounts using Genetic Algorithm
Vendor selection decisions are complicated by the fact that various conflicting multi-objective factors must be considered in the decision making process. The problem of vendor selection becomes still more compli-cated with the inclusion of incremental discount pricing schedule. Such hard combinatorial problems when solved using meta heuristics produce near optimal solutions. This paper propose...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of material science and technology research
سال: 2023
ISSN: ['2410-4701']
DOI: https://doi.org/10.31875/2410-4701.2023.10.04