Non-dominated Sorting Genetic Algorithm-II (NSGA-II)
The objective design of triangular bucket for dam's spillway using Non-dominated Sorting Genetic Algorithm II: NSGA-II
... jump; NSGA-II algorithm; Karoon III ...evolutionary algorithm known as the Non-dominated Sorting Genetic Algorithm II (NSGA-II) has been ...
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Hybrid non-dominated sorting genetic algorithm with adaptive operators selection
... fast non-dominated sorting genetic algorithm II (NSGA-II) [13], SPEA2 [58], Pareto archive evolution strat- egy (PAES) [22], multi-objective genetic ...
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Modeling and optimization of spinning conditions for polyethersulfone hollow fiber membrance fabrication using non-dominated sorting genetic algorithm-II
... a non-dominated sorting genetic algorithm-II (NSGA-II) methodology to optimize the spinning conditions during the fabrication of polyethersulfone (PES) ...
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Multi-Objective Optimal Power Flow Problem Considering Different Constraints Based on Parallel Non-Dominated Sorting Genetic Algorithm- II
... testing Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and genetic Algorithm (GA), the result were ...by NSGA-II is shown in Table ...
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A novel approach to multi objective OPF by a new parallel non dominated Sorting Genetic Algorithm considering diverse constraints
... elitist Non-dominated Sorting Genetic Algorithm II (NSGA- II) is used to solve the proposed multi-objective optimization problem; the parallel algorithm ...
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A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II
... use non-dominated sort- ing and sharing have been mainly criticized for their (i) O(mN 3 ) computational complexity (where m is the number of objectives and N is the population size), (ii) ...
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Multi-Objective Optimization of a Spring Diaphragm Clutch on an Automobile Based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II)
... 3 School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China; junjun_zhu_88@163.com * Correspondence: zhou1987g@suse.edu.cn Abstract: The weight coefficients of the diaphragm ...
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Multi objective constrained algorithm (MCA) and non dominated sorting genetic algorithm (NSGA ii) for solving multi objective crop planning problem
... Crop planning is related to many factors such as the type of lands, yield rate, weather conditions, and convenience of the agricultural inputs, crop demand, capital availability and the cost of production. Some of these ...
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Efficient Constellation Design Based on Improved Non-dominated Sorting Genetic Algorithm-II
... In China, Liu Huijie researched constellation optimal design and performance analysis of regional satellite positioning system, proposed constellation design method of two-step optimization and conducted optimal design ...
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Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II)
... The simulation outcome is a four-dimensional solution set. The building variants of the Pareto frontier adopt diverse and non-intuitive design alternatives. To derive good design practices, two-dimensional ...
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Optimalisasi Solusi Terbaik dengan Penerapan Non-Dominated Sorting II Algorithm
... Kata kunci : non-dominated sorting, genetic algorithm, optimasi multi objek. Copyright @ 2016 -- Jurnal Ilmiah ILKOM -- All rights reserved. 1. Pendahuluan Pemecahan masalah atau ...
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An Automated Task Scheduling Model using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems
... The operators do not suit a task scheduling problem in dynamic fog-cloud environments because continuous values resulting from the Continuous NSGA-II CNSGA-II algorithm can not be assign[r] ...
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Digital Image Steganography using Non Dominated Sorting Genetic Algorithm (NSGA) within Discrete Wavelet Transform (DWT)
... data in different format such as text, images, audio, video etc. Image steganography is widely used technique and various methods have been developed to hide the secret information in images. Conventional techniques used ...
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Enhanced non-dominated sorting genetic algorithm for test case optimization
... 5 Some of these techniques claimed to be effective and efficient in order to help in optimization of test cases. The main challenge of these algorithms is to find their fitness function to help to produce a set of ...
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A New Non-dominated Sorting Genetic Algorithm for Multi-Objective Optimization
... obtained non-dominated ...any algorithm to deal with MOPs (Dias & Vasconcelos, ...evolutionary algorithm (SPEA) (Zitzler et al., 2000) and the revised non-dominated ...
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Non Dominated Sorting Genetic Algorithm Based Energy Aware Clustering Protocol
... Non Dominated Sorting Genetic Algorithm Based Energy Aware Clustering Protocol Roubaldeep Kaur, Supreet Kaur Abstract: Energy conservation is defined as an ill posed problem in wireless ...
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Multi-Objective Feature Subset Selection using Non-dominated Sorting Genetic Algorithm
... Feature subset selection is the problem of selecting a subset of features from a larger set of features based on some optimization criteria. Some of the features in the larger set may be irrelevant or mutually redundant. ...
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Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
... by NSGA-II, however advantages were insignificant, and 9 test problems were solved best by NSGA/LSP according to all ...Although NSGA/LSP increases the performance metrics for most of test ...
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Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
... a non-dominated sorting genetic algorithm (NSGA-II) has been used along with - constraint method for sample ...proposed NSGA-II has been compared to the - ...
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Optimization of Location Allocation of Web Services Using A Modified Non-dominated Sorting Genetic Algorithm
... a NSGA-II based approach to web service location-allocation ...the NSGA-II based approach is effective to produce a set near-optima solutions for the web service location-allocation ...Also, ...
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