Non-Dominated Sorting Algorithm II (NSGA-II)
Multi-Objective Optimization of a Spring Diaphragm Clutch on an Automobile Based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II)
... In this paper, we are concerned with the automobile clutch diaphragm spring and current related research. We aim to study the separation stroke average of the minimum separation of control force and the pressing force ...
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Design of an Optimum Single Phase Inverter for a Grid Tie PV System
... genetic algorithm (GA) is used to provide simpler and more reliable converter design for high efficiency, small size and low ...accurate non-linear averaged model was used to model the power ...Elitist ...
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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 1. The ...
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Centralized Unmanned Aerial Vehicle (UAV) Mesh Networks Placement Scheme: A Multi-Objective Evolutionary Algorithm Approach
... IEEE Institute of electrical and electronics engineer MOEA Multi-objective evolutionary algorithm MOP Multi-objective optimization problem NSGA-II Non-dominated sorting genetic algorithm[r] ...
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NARMAX Model Identification Using Multi-Objective Optimization Differential Evolution
... elitist non-dominated sorting genetic algorithm (NSGA-II) which is an algorithm based on multi-objective evolutionary algorithm (MOEA), many reported works have ...
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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) as a well-known multi-objective evolutionary algorithm is used and developed to solve a number of test ...and ...
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AERO-THERMODYNAMIC OPTIMIZATION OF TURBOPROP ENGINES USING MULTI-OBJECTIVE GENETIC ALGORITHMS
... Abstract In this paper multi-objective genetic algorithms were employed for Pareto approach optimization of turboprop engines. The considered objective functions are used to maximize the specific thrust, propulsive ...
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Real Time Routing Algorithm Based On NSGA-II in Wireless Mesh Networks
... routing algorithm based on NSGA-II. This algorithm has been widely used in optimization ...problems. NSGA-II is a non-dominated sorting genetic ...
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Learning automata and sigma imperialist competitive algorithm for optimization of single and multi-objective functions
... fast non-dominated sorting and Sigma method for ...Competitive Algorithm (SICA), it has been applied on various well-studied benchmark ...by NSGA-II and ...
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Enhanced non-dominated sorting genetic algorithm for test case optimization
... optimization algorithm such as Weight-Based Genetic Algorithm (WBGA), Fuzzy-Based Age Extension of Genetic Algorithm (FAexGA) and Non-Dominated Sorting Genetic Algorithm ...
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Interactive Refactoring of Web Service Interfaces
... many non- cohesive and semantically unrelated ...decision-making algorithm, based on interactive Non-dominated Sorting Genetic Algorithm (NSGA-II), to find a set of ...
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Set a bi-objective redundancy allocation model to optimize the reliability and cost of the Series-parallel systems using NSGA II problem
... a Non-dominated Sorting Genetic Algorithm (NSGA II) after optimizing its operators rate by using Response Surface Methodology ...
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A FUZZY APPROACH FOR REPRESENTATIVE NODE SELECTION IN CROSS LAYER TCP
... the sorting algorithm, with elitism and do not require the distribution priority of parameters that must be ...by non-domination on every ...of non-dominant in the initial population and the ...
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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
... and non-linear multi-objective optimization ...optimization algorithm, multi-parent arithmetic crossover and SBX crossover operator of NSGA-II are used to improve searching capability of this ...
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An evolutionary algorithm with double-level archives for multiobjective optimization
... the Non-dominated sorting genetic algorithm II (NSGA-II) [9], which selects individuals according to a nondominated rank and crowding distance, one group of algorithms in ...
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PUMA 560 Trajectory Control Using NSGA-II Technique with Real Valued Operators
... Genetic algorithm for multi- objective optimization (MOGA) proposed by Fonseca & Fleming in 1993 [21], the Niched Pareto Genetic Algorithm (NPGA) presented by Horn, Nafpliotis, and Goldberg in 1994 ...
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CLASSIFICATIONS, ASSESSMENTS AND CHARACTERISTICS AS FACTORS TOWARDS ANALYZING ORGANIZATIONAL KNOWLEDGE
... MOGAs: Non-dominated Sorting Genetic Algorithm II (NSGA-II), Strength Pareto Evolutionary Algorithm - II (SPEA-II) and the Indicator-Based ...
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Modified NSGA II for a Bi Objective Job Sequencing Problem
... Genetic Algorithm (Lin and Jia Zhen [22], Mattfeld and Bierwirth [12], Gao et ...Leaping algorithm (Xing et ...by NSGA- II (Non-dominated Sorting Genetic ...
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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 ...
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