首页/数据集/Data for: Adaptive repair method for constraint handling in multi-objective genetic algorithm based on relationship between constraints and variables

Data for: Adaptive repair method for constraint handling in multi-objective genetic algorithm based on relationship between constraints and variables

NIAID Data Ecosystem2026-03-11 收录

多目标遗传算法

约束处理技术

数据链接：

https://data.mendeley.com/datasets/6gsykh9kbt 数据链接链接失效反馈

官方服务：

资源简介：

Repair algorithms 1 and 2 within MOGA

应用场景：

创建时间：

2020-03-31

磁制冷优化

多目标遗传算法

This paper is intended to analyze the overall energetic and exergetic performance of an active magnetic regenerative refrigerator (AMRR). A 1.5-D numerical model has been developed to simulate a syste

DataCite Commons2020-09-18 更新70

Energy-efficient bi-objective manufacturing scheduling with intermediate buffers using a three-stage genetic algorithm

制造能源调度优化

多目标遗传算法

This is the experimental data and codes of the manuscript entitled "Energy-efficient bi-objective manufacturing scheduling with intermediate buffers using a three-stage genetic algorithm". All data ar

Figshare2020-02-15 更新40

Parameters of NSGA-II algorithm.

声学超材料优化

多目标遗传算法

The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. The quality of optimization of local optimization al

Figshare2025-07-23 更新30

Data-Driven Optimization of Building Envelope Insulation via ANN and NSGA-II: Balancing Life-Cycle Cost and Carbon Emissions

建筑节能

多目标遗传算法

Three Python files for the code of three different models with extensions .py One Python file for the integration of NSGA-II with three ANN models with the extensions .py Three models for heating, coo

NIAID Data Ecosystem50

Data for: Optimizing the size of a printed circuit heat exchanger by multi-objective genetic algorithm

热交换器优化

多目标遗传算法

The dataset contains the results related to the Figure 5 - Figure 15 in the paper.

NIAID Data Ecosystem40