elitist non-dominated sorting genetic algorithm
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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Weight and deflection optimization of Cantilever Beam using a modified Non-Dominated sorting Genetic Algorithm
... multi-objective genetic algorithm, based on the elitist non-dominated sorting genetic algorithm (NSGA-II), is implemented to obtain Pareto-optimal designs for the ...
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MULTI-OBJECTIVE OPTIMIZATION OF LAMINATED COMPOSITE PLATE USING A NON-DOMINATED SORTING GENETIC ALGORITHM
... Keywords- Genetic algorithm, laminated composites, Stacking sequence, Composite plate, Pareto optimal ...optimization algorithm yields a set of optimal solutions, instead of a single optimal solution ...
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Multi-objective evolutionary optimization of sandwich structures: An evaluation by elitist non-dominated sorting evolution strategy
... as Elitist Non-Dominated Sorting Evolution Strategy (ENSES) wherein Evolution Strategies (ES) as Evolutionary Algorithm (EA) in the elitist 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
... parallel elitist Non-dominated Sorting Genetic Algorithm II (NSGA- II) is used to solve the proposed multi-objective optimization problem; the parallel algorithm shows an ...
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Multi-Objective Optimal Power Flow Problem Considering Different Constraints Based on Parallel Non-Dominated Sorting Genetic Algorithm- II
... a Non-dominated Sorting Genetic Algorithm II (NSGA-II) to solve the ...parallel elitist Non- dominated Sorting Genetic Algorithm II (NSGA-II) ...
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MOSMA: Multi-Objective Slime Mould Algorithm Based on Elitist Non-Dominated Sorting
... B. CONSTRAINT HANDLING APPROACH Some potential applications of the proposed MOSMA may also have constraints, and they are not limited to land- slide prediction, dealing with modelling in the environmental concerns, ...
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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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Hybrid non-dominated sorting genetic algorithm with adaptive operators selection
... from NGSA-II [13], and uses multiple search operators such as simulated binary crossover (SBX) [11], di fferential evolution (DE) [40], center of mass crossover (CMX) [46] and simplex crossover (SPX) [47] to evolve ...
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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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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 single agent stochastic search in non-dominated sorting genetic algorithm
... solved best by NSGA-II, however advantages were insignificant, and 9 test problems were solved best by NSGA/LSP according to all metrics. Although NSGA/LSP increases the performance metrics for most of test problems ...
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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 ...meta-heuristic algorithm, namely NSGA-II, has roughly found good ...
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Optimization of Location Allocation of Web Services Using A Modified Non-dominated Sorting Genetic Algorithm
... location-allocation as Algorithm 1, comparing with the original NSGA-II our proposed algorithm has two new features. Firstly, in order to avoid repeatly evaluating the fitness of chromosomes, after the ...
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New Hybrid Non-Dominated Sorting Differential Evolutionary Algorithm
... optimization algorithm with the aim of complete coverage, faster global convergence and higher solution ...with non-dominated differential evolutionary (NSDE) and an efficient multi objective ...
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New Hybrid Non-Dominated Sorting Differential Evolutionary Algorithm
... optimization algorithm with the aim of complete coverage, faster global convergence and higher solution ...with non-dominated differential evolutionary (NSDE) and an efficient multi objective ...
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Paroxysmal atrial fibrillation prediction based on HRV analysis and non-dominated sorting genetic algorithm III
... As for limitation of this work, the proposed method still needs improvement in order to achieve same or higher accuracy rate than best work [10] . The proposed prediction method is also limited by a small sample size of ...
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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 used to classify the entire population ...After non-dominated sorting is over, the new population is filled by solutions of different ...
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