NSGA-II evolutionary algorithm
NARMAX Model Identification Using Multi-Objective Optimization Differential Evolution
... genetic algorithm (NSGA-II) which is an algorithm based on multi-objective evolutionary algorithm (MOEA), many reported works have applied this algorithm for model ...
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Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm
... task at hand. Thus, the problem representation has to concur to the algorithm’s requirements and it should be devised in a fashion that captures the most of the form and attributes of the design search space. With EA’s, ...
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Solving a location-allocation problem by a fuzzy self-adaptive NSGA-II
... Multi-objective evolutionary algorithms (MOEA) have been considered for solving multi-objective mathematical ...genetic algorithm (NSGA) developed by Srinivas and Deb (1994) finding a set of ...
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A novel Pareto-based multi-objective vibration damping optimization algorithm to solve multi-objective optimization problems
... Multi-Objective Evolutionary Algorithms (MOEAs) have been suggested ...of evolutionary algorithms for solving multi-objective optimization is their population-based nature and their ability to nd multiple ...
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Voltage Stability Constrained Optimal Power Flow Using NSGA II
... multi-objective evolutionary algorithm techniques such as Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) approach for solving Voltage ...
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Multi-objective Differential Evolution for the Flow shop Scheduling Problem with a Modified Learning Effect
... and NSGA-II ...of NSGA-II and decrease the too strong selective pressure of PESA- ...of evolutionary algorithms to solve scheduling ...new evolutionary technique, differential ...
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Multi-objective Pareto optimization of bone drilling process using NSGA II algorithm
... A multiobjective Pareto-based optimization of bone drilling process has been successfully performed using Genetic Algorithms. Regression model using some experimental data revealed two different polynomial equations for ...
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The application of multi-objective charged system search algorithm for optimization problems
... Multi-Objective Evolutionary Algo- rithms (MOEAs) have shown an acceptable perfor- mance in many benchmarks and real-world problems with their origins in engineering, scientic, and in- dustrial areas ...of ...
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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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Multi objective evolutionary algorithms and hyper heuristics for wind farm layout optimisation
... Pareto Evolutionary Algorithm (SPEA) ...(MOPSO) algorithm which combined a general purpose MOPSO [15] algorithm with problem-specific repair strategies to maximise the energy capture and ...
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Energy optimization in wireless sensor network using NSGA II
... multi-objective evolutionary algorithms (MOEAs) are used for solving two or more objective ...objective evolutionary algorithm (MOEA), called as non-dominated sorting genetic algorithm ...
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Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
... genetic algorithm (NSGA-II) as a well-known multi-objective evolutionary algorithm is used and developed to solve a number of test ...and NSGA-II are solved and compared ...
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Interactive Refactoring of Web Service Interfaces
... on evolutionary algorithms, that dynamically adapts and suggests a possible remodularization of the Web services interface design to users/developers and takes their feedback into ...decision-making ...
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The Use of Multi Objective Genetic Algorithm Based Approach to Create Ensemble of ANN for Intrusion Detection
... This phase evolves the weights for pool of ANNs to formulate diverse base classifiers using MOGA. The diversity among base classifiers is maintained implicitly by varying initial random weights used for multi objec- tive ...
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An evolutionary algorithm with double-level archives for multiobjective optimization
... genetic algorithm II (NSGA-II) [9], which selects individuals according to a nondominated rank and crowding distance, one group of algorithms in this category uses a multiobjective selection ...
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Multi objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm
... the NSGA-II and PEST runs, it can be concluded that the multi- objective approach proposed in this paper performs ...multi-population evolutionary algorithms or a combination of these search methods ...
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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 ...
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CLASSIFICATIONS, ASSESSMENTS AND CHARACTERISTICS AS FACTORS TOWARDS ANALYZING ORGANIZATIONAL KNOWLEDGE
... Genetic Algorithm II (NSGA-II), Strength Pareto Evolutionary Algorithm - II (SPEA-II) and the Indicator-Based Evolutionary Algorithm (IBEA) to ...
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Real Time Routing Algorithm Based On NSGA-II in Wireless Mesh Networks
... Genetic algorithm is an evolutionary algorithm which is inspired from natural process of selection and ...genetic algorithm (GA) based approach to route selection and capacity flow ...
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Modified NSGA II for a Bi Objective Job Sequencing Problem
... Multi-Objective Evolutionary Algorithm (MOEA) known as Non-dominated Sorting Genetic Algorithm-II ...proposed algorithm contains a new mutation algorithm and has been applied on ...
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