A Bayesian reinforcement learning-improved NSGA-II algorithm (RLINSGA-II) has been proposed. After non-dominated sorting, the population is hierarchically divided, and a selection strategy is established among
Matlab 2016b is used to solve the multi-objective NSGA-Ⅱ algorithm in this paper. The hardware platform is Intel(R) Core(TM) i5–8400 CPU @2.80GHz, RAM 16 GB. The basic parameters of the improved NSGA-II algorithm proposed in this paper are set as follows: the initial population size...
An Improved NSGA-II Algorithm and Its ApplicationThe NSGA-II algorithm is widely used in multi-objective optimization problems, but the traditional NSGA-II algorithm has some shortcomings such as large computational cost and poor convergence in......
改进NSGAII 算法 的水 库多 目标 防洪调度 算法 ( Reservoir flood control algorithm based on improved NSGAII,RFC—I— NSGAII) 。本 文算 法采用 了下 泄流量 编码 方式 ,并针 对水库 防洪 调度 问题 的特 点提 出了一 种 Inver—over 变异 算子 对NSGAII 进 行改 进 。对典 型历史 洪水 ...
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...
Luo, "Improved multi- objective genetic algorithm based on NSGA-II," Computer Applications, vol.26, pp. 2453-2456, Oct. 2006.Chen, X., Hou, Z., Guo, L., Luo, W.: Improved multi-objective genetic algorithm based on NSGA-II. Computer Application 26(10), 2453–2456 (2006)...
“Problem description and formulation”, the problem is formally described and the MILP is established. The subsequent section presents the problem-specific properties. and “Improved NSGA-II algorithm” introduces all the components of INSGA-II. In “Experiments and results”, numerical experiments ...
limitations on investing in assets from a given industry, and cardinality, class, and quantity constraints. Furthermore, they developed an improved version of the NSGA II algorithm, called 2-Phase NSGA II, to solve the resulting optimization problem.Meghwani and Thakur (2018)focus on the problem...
Nondominated Sorting Genetic Algorithm III(NSGA-III) ✏前言 前面的文章有介紹了基因演算法 (GA) 衍伸出的非凌越排序基因演算法 (NSGA-II),而本文將要介紹的 NSGA-III 是從 NSGA-II 的基礎進行改良改良而來,因此該演算法的架構與 NSGA-II 相似,NSGA-III 由 Kalyanmoy Deb 與 Himanshu Jain 於 2014...
Table 1. Pseudocode for NSGA-II algorithm based on degradation strategy Input: Non-dominance class F1,F2,…,Fn, all individual crowding distancesOutput: Cross Pools L 1: For Fi∈{F1,F2,…,Fn}2: Ranking all individuals I descending order according to crowding distance3: Calculate ...