نتایج جستجو برای: multi objective genetic algorithm moga
تعداد نتایج: 2159089 فیلتر نتایج به سال:
The LCLS-II (linac coherent light source II) will build on the success of the world’s most powerful X-ray laser: the LCLS (linac coherent light source). It will add two new X-ray laser beams and room for additional new instruments, thus greatly increasing the number of experiments carried out each year. Multiple operation modes are proposed to accommodate a variety of user requirements. There a...
This paper addresses the problem of controlling Heating Ventilation and Air Conditioning (HVAC) systems with the purpose of maintaining a desired thermal comfort level, whilst minimizing the electrical energy required. Using a pilot installation, in the University of Algarve, Portugal, a Model Based Predictive Control (MBPC) strategy is used to control the HVAC equipment. The thermal comfort is...
Optimal sewer design aims to minimize capital investment on infrastructure whilst ensuring a good system performance under specific design criteria. One of the state-of-the-art optimization techniques for this problem is the Genetic Algorithm (GA), which is commonly combined with a sewer hydraulic simulator during the optimization. However, this approach can be prohibitively time-consuming espe...
Abstract In this study, a novel method is proposed to optimize the reinforced parameters influencing bearing capacity of shallow square foundation resting on sandy soil with geosynthetic. The be optimized are reinforcement length (L), number layers ( N ), depth topmost layer geosynthetic (U), and vertical distance between two (X). To achieve objective, 25 laboratory small-scale model tests were...
In this paper, we present the design and optimization of a centrifugal fan with requirements maximizing total-to-static pressure rise efficiency at two operating points maximum torque provided by motor power using 3D inverse method, DOE (design experiment) study, an RSM (response surface model) MOGA (multi-objective genetic algorithm). The geometry is parametrized 13 parameters, 120 different d...
abstract: in this paper, optimization of boeing 747 wing has been accomplished for cruise condition (mach number=0.85, flight altitude=35000 ft), where an optimal wing shape is proposed. objective functions are minimization of wing weight and drag force that as well as confining design parameters, two functional constrains are applied. the first functional constrain is fuel tank volume in the a...
The evolutionary approach in the design optimisation of MEMS is a novel and promising research area. The problem is of a multi-objective nature; hence, multi-objective evolutionary algorithms (MOEA) are used. The literature shows that two main classes of MOEA have been used in MEMS evolutionary design Optimisation, NSGA-II and MOGA-II. However, no one has provided a justification for using eith...
The paper describes a rank-based fitness assignment method for Multiple Objective Genetic Algorithms (MOGAs). Conventional niche formation methods are extended to this class of multimodal problems and theory for setting the niche size is presented. The fitness assignment method is then modified to allow direct intervention of an external decision maker (DM). Finally, the MOGA is generalised fur...
A novel bi-objective multi-server location-allocation (LA) model is developed in this paper, in which the facilities are modeled as an M/M/m queuing system. Further, capacity and budget limitations are provided to make the LA problem more realistic. The two objective functions include (1) minimizing aggregate waiting times and (2) minimizing the maximum idle time of all facilities. Since the pr...
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