计算机科学
展开图
背景(考古学)
管理科学
风险分析(工程)
过程(计算)
控制(管理)
多目标优化
工业工程
系统工程
运筹学
过程管理
工程类
业务
人工智能
古生物学
机器学习
操作系统
生物
作者
Sandra Cecilia Cerda-Flores,Arturo A. Rojas-Punzo,Fabricio Nápoles‐Rivera
出处
期刊:Processes
[MDPI AG]
日期:2022-01-10
卷期号:10 (1): 133-133
被引量:10
摘要
Industrial processes provide several of the products and services required for society. However, each industry faces different challenges from different perspectives, all of which must be reconciled to obtain profitable, productive, controllable, safe and sustainable processes. In this context, multi-objective optimization has become a powerful tool to aid the decision-making mechanism in the synthesis, design, operation and control of such processes. The solution to the mathematical models provides the necessary tools to asses the system performance in terms of different metrics and evaluate the trade-offs between the objectives in conflict. The number of applications of multi- objective optimization in industrial processes is ample and each application has its own challenges. In the present literature review, a broad panorama of the applications in multi-objective optimization is presented, including future perspectives and open questions that still need to be addressed.
科研通智能强力驱动
Strongly Powered by AbleSci AI