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
3.2.1 Non-dominated sorting genetic algorithm-II Non-dominated sorting genetic algorithm II (NSGA-II) is an efficient meta-heuristic multi-objective genetic algorithm that is commonly deployed to solve multi-objective optimization problems in applications such as facility distribution, supply network arch...
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
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。
2) Non-dominated Sorting Genetic Algorithm-I(INSGA-II) 非支配排序遗传算法II(NSGA-II)3) fast and elitist multi-objective genetic algorithm(NSGA-II) 非支配排序遗传算法(NSGA-II)4) non-dominated sorting genetic algorithm-II 非支配排序遗传算法-II...
1. In order to solve the problems of multi-objective optimization more effectively,the Elitist Nondominated Sorting Genetic Algorithm(NSGA-Ⅱ) is proposed on the basis of NSGA. 为了更好地解决多目标优化问题,在NSGA的基础上,研究人员提出了带精英策略的非支配排序遗传算法NSGA-Ⅱ。
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...
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)...