نتایج جستجو برای: objective genetic algorithm moga
تعداد نتایج: 1799542 فیلتر نتایج به سال:
This paper proposes a new Multiobjective Genetic Algorithm (MOGA) approach for Bicriteria Network Design (BND) Problem. The objectives are to maximize flow and minimize cost. The proposed method adopts priority-based encoding method to represent a path in the network. Different from other encoding methods, such as path oriented encoding method, priority-based encoding method can be applied for ...
Abstract Self-compacting concrete (SCC) is a type of known for its environmental benefits and improved workability. In this study, data-driven approaches were used to anticipate the compressive strength (CS) self-compacting containing recycled plastic aggregates (RPA). A database 400 experimental data sets was assess capabilities multi-objective genetic algorithm evolutionary polynomial regress...
This paper presents a MultiObjective Genetic Algorithm (MOGA) optimization framework for batch plant design. For this purpose, two approaches are implemented and compared with respect to three criteria, i.e., investment cost, equipment number and a flexibility indicator based on work in process (the so-called WIP) computed by use of a discrete-event simulation model. The first approach involves...
Approaches such as changing the cell number, rib direction, and adding internal structure are utilized to acquire a multi-cell thin-walled structure, these approaches have meaningful effects on crashworthiness performance of tubes. In this study, comprehensive review is done by using comparing together under quasi-static three-point bending conditions. A different indicator better for each prod...
Accurate photovoltaic (PV) power forecasting is crucial to achieving massive PV integration in several areas, which needed successfully reduce or eliminate carbon dioxide from energy sources. This paper deals with short-term multi-step forecasts used model-based predictive control for home management systems. By employing radial basis function (RBFs) artificial neural networks (ANN), designed u...
The efficient plan of site arrangement during the construction phase has been considered a vital duty to successful project performance due productivity enhancement as well safety in executions. optimization Construction Site Layout Problem (CSLP) is combinatorial complexity that regards numerous objectives and considerable growth scale increasing constraints facilities. rearrangement on may th...
Coagulation-flocculation is the most important parts of water treatment process. Traditionally, optimum pre coagulant dosage is determined by used jar tests in laboratory. However; jar tests are time-consuming, expensive, and less adaptive to changes in raw water quality in real time. Soft computing can be used to overcome these limitations. In this paper, multi-objective evolutionary Pareto op...
The wing of missile can be considered as an effective factor for determination lift to drag ratio. However, there are few studies that investigate effect on aerodynamics. Therefore, the purpose this study is indicate aerodynamics and optimize geometry enhancement aerodynamic efficiency. designed tail-fin configuration selected from a previous which contains experimental data. In beginning study...
Energy consumption has been increasing steadily due to globalization and industrialization. Studies have shown that buildings are responsible for the biggest proportion of energy consumption; for example in European Union countries, energy consumption in buildings represents around 40% of the total energy consumption. In order to control energy consumption in buildings, different policies have ...
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