NSGA-II algorithm
Multi-objective Pareto optimization of bone drilling process using NSGA II algorithm
... Both temperature and force in bone drilling process are important conflicting objective functions to be optimized simultaneously. These objective functions are obtained either from experiments or tedious and costly FEM ...
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Determining decoupling points in a supply chain networks using NSGA II algorithm
... NSGA II is a known algorithm to address MODM problem when decision space is ...used NSGA II algorithm to find some non-dominated solutions of the problem and present some ...
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Enhanced NSGA-II Algorithm for Solving Multiobjective Optimization Problems Using PBX Crossover and POM Mutation.
... original NSGA II Binary tournament selection (BTS) is used, where tournament is played between two solutions and better is selected and placed in mating ...
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PUMA 560 Trajectory Control Using NSGA-II Technique with Real Valued Operators
... original NSGA-II algorithm (which are the SBX crossover and the polynomial mutation) to show whether it decrease the quality of the approach or ...using NSGA-II (Elitist Non-dominated ...
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Energy optimization in wireless sensor network using NSGA II
... from NSGA-II is considered as network ...and NSGA-II algorithm is evaluated based on some metrics such as total energy, number of alive nodes and number of packets reached to ...of ...
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Finding influential users for different time bounds in social networks using multi objective optimization
... the NSGA-II algorithm which is a powerful algorithm in multi-objective optimization to find different seed sets with high influence at different diffusion ...the NSGA-II. ...
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Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
... Therefore, NSGA-II algorithm is employed to solve the given problem, and its efficiency is compared to the epsilon-constraint method on several random sample ...
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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 ...Genetic Algorithm NSGA-II was used to search the Pareto optimal ...
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Optimal offloading in Clouds by NSGA II
... paper, NSGA II optimization algorithm to optimize the parameters simultaneously, without time and energy is ...to NSGA II algorithm in Matlab software simulation output results ...
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A new nondominated sorting genetic algorithm based to the regression line For fuzzy traffic signal optimization problem
... of NSGA-II, a multi-objective evolutionary algorithm, to optimize both vehicle and pedestrian delays in an individual ...improve NSGA-II algorithm based on the regression line to ...
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The objective design of triangular bucket for dam's spillway using Non-dominated Sorting Genetic Algorithm II: NSGA-II
... Genetic Algorithm (NSGA) which was suggested by Srinivas and Deb [9] was one of the rst evolutionary ...of NSGA called NSGA-II. They said that \because of NSGA-II's low ...
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Portfolio optimization by improved NSGA-II and SPEA 2 based on different risk measures
... the NSGA-II algorithm based on differential operators is developed by (Krink and Paterlini 2011) for portfolio optimization involving real-world constraints and quantile- based risk ...
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Real Time Routing Algorithm Based On NSGA-II in Wireless Mesh Networks
... routing algorithm is based on NSGA-II algorithm and its application is optimizing real time routing through mesh ...proposed algorithm which has been implemented in ...
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Hybrid Multi-objective Workflow Scheduling on Utility Grids
... proposed algorithm named as Double Hybrid NSGA-II Algorithm (DHNSGA-II) that improves up the convergence of the NSGA- II algorithm by employing Pre-selection and ...
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Voltage Stability Constrained Optimal Power Flow Using NSGA II
... genetic algorithm for multi-objective optimization which has a better sorting algorithm and incorporates elitism and no sharing parameter needed to be chosen as com- pared to the original ...
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CLASSIFICATIONS, ASSESSMENTS AND CHARACTERISTICS AS FACTORS TOWARDS ANALYZING ORGANIZATIONAL KNOWLEDGE
... 6601 indicators where a function I assigns to each Pareto set a real value reflecting its quality that should be maximized [45]. The main advantage of the indicator concept is that no additional diversity preservation ...
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Modeling and Optimization of Electrical Discharge Machining of SiC Parameters, Using Neural Network and Non Dominating Sorting Genetic Algorithm (NSGA II)
... optimization algorithm provides a single optimal ...Genetic algorithm works with a population of feasi- ble solutions and, therefore, it can be used in multi-ob- jective optimization problems to capture a ...
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A novel Pareto-based multi-objective vibration damping optimization algorithm to solve multi-objective optimization problems
... 5, NSGA-II shows better perfor- mances, in terms of NOS, while MOVDO has better performance in terms of CPU ...with NSGA-II and MOSA, on MID, spacing, and diversity metrics in which the ...
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Enhanced non-dominated sorting genetic algorithm for test case optimization
... Genetic Algorithm (NSGA II) by implementing fitness scaling approach alongside with Pareto-Ranking approach to the algorithm which may produce more optimize GUI test ...
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IMPLEMENTATION IN DECISION SUPPORT SYSTEM OF ONTOLOGICAL APPROACH TO EXTRACTION OF DATA ABOUT INFORMATION OBJECTS FROM NEWS FLOW
... Genetic Algorithm (NSGA) and Fuzzy C-Means ...results NSGA generate many combinations of solutions Navy patrol boat optimum form of optimal Pareto ...
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