The Elitist Non-dominated Sorting GA for Multi-objective Optimization of Standalone Hybrid Wind/PV Power Systems
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چکیده
منابع مشابه
A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II
Abstract. Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) computational complexity (where is the number of objectives and is the population size), (ii) non-elitism approach, and (iii) the need for specifying a sharing parameter. In this paper, we suggest a non-dominated sorting based multi-objective evolutionary algor...
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Corresponding Author: Rabczuk, T./Ilyani Akmar, A.B. Institute of Structural Mechanics, Bauhaus University of Weimar, Marienstrasse 15, 99423 Weimar, Germany Faculty of Civil Engineering, MARA University of Technology, 40450 Shah Alam, Selangor, Malaysia Email: [email protected] Email: [email protected] Abstract: In this study, an application of evolutionary multi-objective o...
متن کاملA Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O(mN3) computational complexity (where m is the number of objectives and N is the population size), (ii) non-elitism approach, and (iii) the need for specifying a sharing parameter. In this paper, we suggest a non-dominated sorting based multi-objective evolutionary algo...
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Among numerous multi-objective optimization algorithms, the Elitist non-dominated sorting genetic algorithm (NSGA-II) is one of the most popular methods due to its simplicity, effectiveness and minimum involvement of the user. This article develops a multi-objective variation of the Nelder-Mead simplex method and combines it with NSGA-II in order to improve the quality and spread of the solutio...
متن کاملAn Adapted Non-dominated Sorting Algorithm (ANSA) for Solving Multi Objective Trip Distribution Problem
Trip distribution deals with estimation of trips distributed among origins and destinations and is one of the important stages in transportation planning. Since in the real world, trip distribution models often have more than one objective, multi-objective models are developed to cope with a set of conflict goals in this area. In a proposed method of adapted non-dominated sorting algorithm (ANS...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2006
ISSN: 1812-5654
DOI: 10.3923/jas.2006.2000.2005