Non-dominated sorting genetic algorithm-II: A multi-objective optimization method for building renovations with half-life cycle and economic costsExisting building renovationMulti-objective optimizationHalf-life
Non-dominated sorting genetic algorithm II (NSGA-II) [46] is one of these variations and is one of the most effective multi-objective GA. The elitism principles and diversity preservation mechanism are adopted in the NSGA-II to obtain Pareto optimal solutions. To intuitively show the general ...
Non-dominated Sorting Genetic Algorithm II (NSGA-II) 3.1K Downloads Categories Mathematics and Optimization > Global Optimization Toolbox > Genetic Algorithm Find more on Genetic Algorithm in Help Center and MATLAB Answers Tags Add Tags evolutionary genetic algorithm minimization multiobjective nsga...
改进非劣分层多目标遗传算法(NSGA-II),non-dominated sorting genetic algorithm II(NSGA-II) improved multi-objective GA(genetic algorithm)多目标改进遗传算法 1.In order to solve an MRT(mass rapid transportation) train operation simulation model and obtain the optimum operation curve,an improved multi-...
A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization:NSGA-II 一.动机 NSGA在之前提出时,存在诸多问题。因此提出NSGA-II对于NSGA存在的以下三个问题进行一些改进: 1.高计算复杂度 无支配的排序算法时间复杂度O(mN3),对于size大的population是无法容忍的。
Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O(MN 3) computational complexity (where M is the number of objectives and N is the population size), (ii) non-el
研究结果表明改进NSGA-II算法对多跑道进港飞机调度多目标优化问题具有较好的应用前景。 关键词启发式交叉算子;多目标优化;NSGA-II;Pareto最优;进港飞机调度 中图分类号V355文献标志码Adoi:10.3969/j.issn.1001-0548.2014.01.011 ImprovedNondominatedSortingGeneticAlgorithmIIfor Multi-ObjectiveOptimizationofSchedulingArrival...
In this research, a data clustering algorithm named as non-dominated sorting genetic algorithm-fuzzy membership chromosome (NSGA-FMC) based on K-modes method which combines fuzzy genetic algorithm and multi-objective optimization was proposed to improve the clustering quality on categorical data. The ...
This paper uses the Bloch-Floquet theory based on the modified non-dominated sorting genetic algorithm-II (NSGA-II) to investigate the optimal design of wave barriers to attenuate plane waves. The primary aim is to find the optimal design of the plane wave barriers with a wide bandgap at a...
4) Non-Dominated Sorted Genetic Algorithm-II(NSGA-II) 非支配排序遗传算法-II(NSGA-II)5) fast and elitist multi-objective genetic algorithm(NSGA-II) 非支配排序遗传算法(NSGA-II)6) Non-dominated Sorting Genetic Algorithm-I(INSGA-II) 非支配排序遗传算法II(NSGA-II)...