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 ...
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-...
Deb, K., Agrawal, S., Pratap, A., Meyarivan, T. (2000). A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II. In: Schoenauer, M.,et al.Parallel Problem Solving from Nature PPSN VI. PPSN 2000. Lecture Notes in Computer Science, vol 1917. ...
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。
4) Non-dominated Sorting Genetic Algorithm (NSGA) 非支配排序遗传算法(NSGA) 例句>> 5) Non-Dominated Sorted Genetic Algorithm-II(NSGA-II) 非支配排序遗传算法-II(NSGA-II)6) fast and elitist multi-objective genetic algorithm(NSGA-II) 非支配排序遗传算法(NSGA-II)...
3) Non-dominated Sorting Genetic Algorithm (NSGA) 非支配排序遗传算法(NSGA) 例句>> 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)...
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 ...
Therefore, the utilization of a fuzzy outranking relation is modeled as a three-objective optimization problem, which is solved by an evolutionary algorithm. The proposed ranking algorithm is a hybrid of the elitist non-dominated sorting genetic algorithm-II (NSGA-II) and a reference point method...