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NSGA-II (Non-Dominated Sorting Genetic Algorithm-II)

Energy optimization in wireless sensor 
		network using NSGA II

Energy optimization in wireless sensor network using NSGA II

... Clustering allows aggregation of data received from its cluster members and sends the aggregated data to BS. Clustering reduces the number of nodes taking part in transmission also it limits data transmission. Clustering ...

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PUMA 560 Trajectory Control Using NSGA-II Technique with Real Valued Operators

PUMA 560 Trajectory Control Using NSGA-II Technique with Real Valued Operators

... Algorithm II (NSGA-II) technique using the real valued recombination and the real valued mutation in the tuning of the computed torque controller gains of a PUMA560 arm ...The NSGA-II ...

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Multi Objective Constrained Optimization using Discrete Mechanics and NSGA II Approach

Multi Objective Constrained Optimization using Discrete Mechanics and NSGA II Approach

... A novel approach to solve multi-objective optimization problems of complex mechanical systems is proposed based on evolution- ary algorithm. Discrete mechanics derives structure preserving con- straint equations and ...

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Modified NSGA II for a Bi Objective Job Sequencing Problem

Modified NSGA II for a Bi Objective Job Sequencing Problem

... This paper proposes a better modified version of a well-known Multi-Objective Evolutionary Algorithm (MOEA) known as Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The proposed algorithm ...

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Voltage Stability Constrained Optimal Power  Flow Using NSGA II

Voltage Stability Constrained Optimal Power Flow Using NSGA II

... Algorithm II (NSGA-II) approach for solving Voltage Stability Constrained-Optimal Power Flow ...system. NSGA-II based OPF—case 1—Two objective-Min Fuel cost and Voltage stability index; ...

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Mobile Edge Computing Task Placement Strategy Based on NSGA II

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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A knowledge-based NSGA-II approach for scheduling in virtual manufacturing cells

A knowledge-based NSGA-II approach for scheduling in virtual manufacturing cells

... This paper considers the job scheduling problem in virtual manufacturing cells (VMCs) with the goal of minimizing two objectives namely, makespan and total travelling distance. To solve this problem two algorithms are ...

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A New Optimized PD-PI Controller using NSGA-II for Automatic Generation Control

A New Optimized PD-PI Controller using NSGA-II for Automatic Generation Control

... ABSTRACT: This paper introduces a new powerful cascaded PD-PI controller for solving load frequency control (LFC) problem in power system. A two area non-reheat thermal power plant is considered and gains of PI/PID ...

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Spam NSGA II NvBys: An efficient hybrid approach for email spam filtering

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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Bi-Objective Optimization of MQL Based Turning Process Using NSGA II

Bi-Objective Optimization of MQL Based Turning Process Using NSGA II

... The above-mentioned difficulty of classical optimization methods is eliminated in evolutionary algorithms, as they can find the multiple solutions in a single run. As a result, a most commonly used evolutionary approach, ...

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Production Process Optimization of Metal Mines Considering Economic Benefit and Resource Efficiency Using an NSGA-II Model

Production Process Optimization of Metal Mines Considering Economic Benefit and Resource Efficiency Using an NSGA-II Model

... Abstract: The optimization of the production process of metal mines has been traditionally driven only by economic benefits while ignoring resource efficiency. However, it has become increasingly aware of the importance ...

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Real Time Routing Algorithm Based On NSGA-II in Wireless Mesh Networks

Real Time Routing Algorithm Based On NSGA-II in Wireless Mesh Networks

... problems. NSGA-II is a non-dominated sorting genetic algorithm which consists of multi objective ...functions. NSGA-II algorithm starts with a random ...proposed NSGA-II routing ...

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Portfolio optimization by improved NSGA-II and SPEA 2 based on different risk measures

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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Multi-Objective Generation and Emission Dispatch Using NSGA-II

Multi-Objective Generation and Emission Dispatch Using NSGA-II

... In this paper, an elitist evolutionary non-dominated sorting algorithm (NSGA-II) is used for solving the multi-objective generation and emission dispatch problem. After obtaining various optimal solutions ...

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Optimal offloading in Clouds by NSGA II

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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Investigating the Use of a Modified NSGA II Solution for Land Use Planning in Mediterranean Islands

Investigating the Use of a Modified NSGA II Solution for Land Use Planning in Mediterranean Islands

... In Naxos island, the main idea was to begin with the land-use status of the island in 1987, calculate an optimal development scenario using the modified NSGA-II, and compare it with the actual development ...

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Determining decoupling points in a supply chain networks using NSGA II algorithm

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 suggestion to select ...

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Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm

Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm

... This paper presents a genetic algorithm based approach for synthesis of truss structure designs. Genotype represented as a collection of binary encoded nodes is decoded into the phenotype by applying the NodeSort ...

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An Effective Chromosome Representation on Proportional Tuition Fees Assessment Using NSGA-II

An Effective Chromosome Representation on Proportional Tuition Fees Assessment Using NSGA-II

... [8]. NSGA-II with a new problem-specific chromosome makes significant performance improvement in oil refinery scheduling [9] and production-distribution optimization ...

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Semi supervised Clustering of Medical Text

Semi supervised Clustering of Medical Text

... titioning. However, in order to determine a proper partitioning, optimizing a single cluster validity index is not always sufficient, especially in the situation when we deal with text documents having clusters of ...

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