نتایج جستجو برای NSGA-II

تعداد نتایج: 355873  

Journal: :JAMDS 2009
Diresh Jewan, Renkuan Guo, Gareth Witten,

This research work investigates the theoretical foundations and computational aspects of constructing optimal bespoke CDO structures. Due to the evolutionary nature of the CDO design process, stochastic search methods that mimic the metaphor of natural biological evolution are applied. For efficient searching the optimal solution, the nondominating sort genetic algorithm NSGA-II is used, which ...

Journal: :Int. Arab J. Inf. Technol. 2015
Xingsi Xue, Yuping Wang, Weichen Hao,

In this paper, we propose a novel approach based on NSGA-II to address the problem of optimizing the aggregation of three different basic similarity measures (syntactic measure, linguistic measure and taxonomy-based measure) and get a single similarity metric. Comparing with conventional genetic algorithm, the proposed method is able to realize three goals simultaneously, i.e., maximizing the a...

2014
Dadmehr Rahbari,

Mobile systems have limited resources such as battery life, network bandwidth, storage capacity, and CPU performance. These restrictions may be reduced by the extra-time computing: a heavy calculations and get results from server to server. Barry out a way to strengthen the capabilities of the transmission system, mobile computing is rich in computers. The main issue in this paper to obtain an ...

Journal: :CoRR 2010
Rio G. L. D'Souza, K. Chandra Sekaran, A. Kandasamy,

Non-dominated Sorting Genetic Algorithm (NSGA) has established itself as a benchmark algorithm for Multiobjective Optimization. The determination of pareto-optimal solutions is the key to its success. However the basic algorithm suffers from a high order of complexity, which renders it less useful for practical applications. Among the variants of NSGA, several attempts have been made to reduce ...

2013
Jaideep Badduri, Gurunathan Saravana Kumar, Rangaprasad Arun Srivatsan, Sandipan Bandyopadhyay,

This paper presents a study of a classical mechanism synthesis problem in the framework of multi-objective optimisation. In addition to the primary kinematic objective of reducing the structural error, staying away from the singular configurations is considered as a secondary objective. Two wellstudied coupler-curve synthesis problems reported in existing literature are revisited for the purpos...

2006
ARAVIND SESHADRI,

NSGA ( [5]) is a popular non-domination based genetic algorithm for multiobjective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGAII ( [3]) was developed, which has a better sorting algorithm , incorporates elitism...

Journal: :Computing and Informatics 2014
Xingsi Xue, Yuping Wang, Weichen Hao, Juan Hou,

Ontology is widely used to solve the data heterogeneity problems on the semantic web, but the available ontologies could themselves introduce heterogeneity. In order to reconcile these ontologies to implement the semantic interoperability, we need to find the relationships among the entities in various ontologies, and the process of identifying them is called ontology alignment. In all the exis...

Journal: :JNW 2013
Jun Gong, Miao Yu,

The previous research on cross-training mainly focused on productive efficiency. However, enhancing labor’s satisfaction of tasks is as much important as improving production performance. This paper addresses a new cross-training policy for an assembly cell from the point of view of humanization. A multi-objective 0-1 integer programming model is presented to implement the crosstraining policy ...

2007
Víctor A. Serrano-Hernandez, Matías Alvarado, Carlos A. Coello Coello,

Disruption on a supply chain provokes lost that should be minimized looking for alternative suppliers. This solution involves a strategy to manage the impact of the disruption and thus to recuperate the supply chain. Difficulty of the management is the diversity of involved factors such that turns complex to provide or choice a solution among the possible ones. Depending on the objective(s) to ...

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