non-dominated sorting
Enhanced non-dominated sorting genetic algorithm for test case optimization
... and Non-Dominated Sorting Genetic Algorithm (NSGA ...is sorting the test cases using only crowding distance approach to find the most optimize set of test cases (Jeyaprakash and Alagarsamy, ...
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Multi-Objective Optimal Power Flow Problem Considering Different Constraints Based on Parallel Non-Dominated Sorting Genetic Algorithm- II
... IEEE 39 bus system was used for testing Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and genetic Algorithm (GA), the result were obtained. A multi-objective model is proposed in this paper as ...
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The objective design of triangular bucket for dam's spillway using Non-dominated Sorting Genetic Algorithm II: NSGA-II
... Abstract. Ski jump is one of the most eective structures in energy dissipation over spillways. Spillways have long been of practical importance to safety of dams. The major criteria in hydraulic design are based on the ...
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Paroxysmal atrial fibrillation prediction based on HRV analysis and non-dominated sorting genetic algorithm III
... the non-dominated sorting genetic algorithm III for optimizing the baseline PAF prediction system, that consists of the stages of pre-processing, HRV feature extraction, and support vector machine ...
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Solving Vehicle Routing Problem with Proposed Non Dominated Sorting Genetic Algorithm and Comparison with Classical Evolutionary Algorithms
... the non-dominated sorting is performed ...In non-dominated sorting genetic algorithm (NSGA-II) no niching parameter is required [3, ...The non dominated ...
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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 shows an excellent acceleration effect and ...
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Weight and deflection optimization of Cantilever Beam using a modified Non-Dominated sorting Genetic Algorithm
... modified Non-Dominated sorting Genetic Algorithm, subjected to maximum stress and maximum deflection ...better sorting, incorporates elitism and no sharing parameter needs to be chosen a ...
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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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Multi-Objective Optimization of a Spring Diaphragm Clutch on an Automobile Based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II)
... Abstract: The weight coefficients of the diaphragm spring depend on experiences in the traditional optimization. However, this method not only cannot guarantee the optimal solution but it is also not universal. ...
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Multi objective constrained algorithm (MCA) and non dominated sorting genetic algorithm (NSGA ii) for solving multi objective crop planning problem
... Non-dominated sorting genetic algorithm (NSGA-II) The non-dominated sorting genetic algorithm is one of the well-known multi-objective optimization ...the non-domination ...
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Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
... This paper has addressed the multi-period, multi-product inventory-routing problem with the aim of minimizing the total system costs and transportation risks. For this problem, it is assumed that numerous products are ...
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Efficient Constellation Design Based on Improved Non-dominated Sorting Genetic Algorithm-II
... Abstract—Constellation design is a typical multiple peaks, multiple valleys and non-linear multi-objective optimization problem. How to design satellite constellation is one of the key sectors of research in the ...
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A multi-objective robust optimization model for location-allocation decisions in two-stage supply chain network and solving it with non-dominated sorting ant colony optimization
... a non- dominated archiving ant colony approach to solve the stochastic time-cost trade-o optimization ...as non-dominated archiving multi-colony ant algorithm (NA-ACO) to solve the optimal ...
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Multi-Objective Feature Subset Selection using Non-dominated Sorting Genetic Algorithm
... The experimentation on more datasets with multiple classes will be done as a future enhancement to compare the results with other feature subset selection techniques. The future research will also include the usage of ...
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MULTI-OBJECTIVE OPTIMIZATION OF LAMINATED COMPOSITE PLATE USING A NON-DOMINATED SORTING GENETIC ALGORITHM
... The design of practical composite structures often requires the maximization or minimization of multiple, often conflicting, objectives. Walker and Kumar have tackled complex multi-objective optimization problems by ...
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Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm
... Genetic algorithms are metaheuristic methods of optimization. They are inspired by the principle of biological evolution of living species. They are algorithms very well adapted to the treatment of multiobjective ...
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Multi-objective robust optimization model for social responsible closed-loop supply chain solved by non-dominated sorting genetic algorithm
... has non-deterministic nature, a robust programming model is developed to cope with uncertainty and the mean and standard deviation of costs are taken into ...
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Non Dominated Sorting Genetic Algorithm Based Energy Aware Clustering Protocol
... Abstract: Energy conservation is defined as an ill posed problem in wireless sensor networks. Many protocols have been proposed improve the energy conservation. But, it has been found that the actual most of the existing ...
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Essays on sorting and inequality
... from sorting at the monopolist’s cuto¤ was decreasing in ...of sorting at y increases in inequality for low rates of inequality, and decreases for high ...no sorting yields higher welfare than ...
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The Folklore of Sorting Algorithms
... examine sorting algorithms in these lines and try and discover the tradeoffs between folklore and ...basic sorting models, such as big O notation, best, worst and average case analysis, time-space ...
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