NSGA II
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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A knowledge-based NSGA-II approach for scheduling in virtual manufacturing cells
... NSGA-II starts with the creation of a random population of solutions P 0 of size N , where N is the population size. Solutions are ranked using the concept of non-dominated sorting. A new population of ...
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Determining decoupling points in a supply chain networks using NSGA II algorithm
... Also, each solution like D1 is labeled with a matrix that shows the value of operations in the solution corresponding to all routs that originate from the final product (in this example A1) and terminate to network ...
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Investigating the Use of a Modified NSGA II Solution for Land Use Planning in Mediterranean Islands
... that NSGA-II performs suc- cessfully in comparison to Goal Attainment-MultiObjective Land Allocation ...of NSGA-II, named NSGA-III, to deal with issues, which include four or even more ...
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Mobile Edge Computing Task Placement Strategy Based on NSGA II
... use NSGA-II to solve the problem of task placement with multi-service nodes and multi-tasking in ...the NSGA-II optimization based placement strategy in terms of load balancing and service ...
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An Effective Chromosome Representation on Proportional Tuition Fees Assessment Using NSGA-II
... Algorithm II (NSGA-II) ...of NSGA-II still requires considerable time in finding a feasible ...of NSGA-II to solve multi-objective problems of proportional tuition fees ...
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Real Time Routing Algorithm Based On NSGA-II in Wireless Mesh Networks
... on NSGA-II algorithm which is a Multiple Objective evolutionary algorithm and the objective of this algorithm is to improve the adaptive fit of a population of candidate solutions to a Pareto front ...
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A New Optimized PD-PI Controller using NSGA-II for Automatic Generation Control
... proposed NSGA-II optimized PD-PI controllers is shown by comparing the results with some recently published modern heuristic optimization approaches such as Bacteria Foraging Optimization Algorithm (BFOA), ...
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Bi-Objective Optimization of MQL Based Turning Process Using NSGA II
... El-Hossainy et.al.[4] have performed experimental investigation to study the characteristics of the flow of the MWF in a turning process utilizing the MQL technique and to analyse the effect of the WMF's behavior on ...
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Production Process Optimization of Metal Mines Considering Economic Benefit and Resource Efficiency Using an NSGA-II Model
... the NSGA-II to optimize globally the geological cut-off grade, minimum industrial grade and loss ratio in order to maximize the economic benefit and resource ...the NSGA-II used to optimize ...
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Spam NSGA II NvBys: An efficient hybrid approach for email spam filtering
... Spam is any sort of e- mail that you don’t want and that you didn’t sign up to receive. Some spam is aggravating but inoffensive, but some might be part of an identity theft scam or other kind of fraud. In recent years, ...
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Multi Objective Constrained Optimization using Discrete Mechanics and NSGA II Approach
... algorithm II (NSGA-II), have gained tremendous popularity in solving differ- ent kinds of engineering problems [1], ...[2]. NSGA-II implements elitism for multi-objective search which ...
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PUMA 560 Trajectory Control Using NSGA-II Technique with Real Valued Operators
... Algorithm II (NSGA-II) is the heavily revised version of the Non-dominated Sorting Genetic Algorithm (NSGA) which has been generally criticized for its computational complexity, needs elitism ...
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Multi-Objective Generation and Emission Dispatch Using NSGA-II
... and emission dispatch is solved to find the generation levels that best compromise the generation cost and the emission level while satisfying the power balance constraint. The solution is attempted using non-dominated ...
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Voltage Stability Constrained Optimal Power Flow Using NSGA II
... The proposed NSGA-II approach has been applied to solve the VSC-OPF problem in an IEEE 30-bus test sys- tem. The system has six generator buses, 24 load buses and 41 transmission lines.The generator cost ...
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Modified NSGA II for a Bi Objective Job Sequencing Problem
... Numerous solution methodologies have been consid- ered for solving the job sequencing problems in the ex- isting literature. The methodologies include Linear Pro- gramming (Mazdeh et al. [19]), dynamic programming (Lewis ...
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Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm
... denotes the iterative while-do loop which lasts until the halting condition is satisfied. The crossover in step a. which produces offspring population of size λ is defined as given by the Eq. (5). To stress out the ...
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Energy optimization in wireless sensor network using NSGA II
... Attea et al. considered the coverage optimization problem for wireless mobile sensor networks (MSN) [9]. In this paper, the locations of mobile sensors are re- decided so that data is routed to BS more efficiently. Non- ...
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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 of the ranking ...
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Optimization of the Energy Efficiency of a Piston Compressed Air Engine
... improved NSGA-II method was introduced, and the influences of the bore-to-stroke ratio, intake pressure and valve lift on the performance of the engine were ...improved NSGA-II can be used in ...
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