Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework

M Liao, K Lan, Y Yao - Journal of industrial ecology, 2022 - Wiley Online Library
Artificial intelligence (AI) is an emerging technology that has great potential in reducing
energy consumption, environmental burdens, and operational risks of chemical production …

[PDF][PDF] List of references on evolutionary multiobjective optimization

CAC Coello - URL< http://www. lania. mx/~ ccoello/EMOO …, 2010 - delta.cs.cinvestav.mx
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Information space of multi-sensor networks

M Tao, S Wang, H Chen, X Wang - Information Sciences, 2021 - Elsevier
It is a challenging problem to explore the capability of multi-sensor networks due to the
identity of the underlying information space across modalities. In this paper, the information …

A novel strategy for the combinatorial production planning problem using integer variables and performance evaluation of recent optimization algorithms

SS Chauhan, C Sivadurgaprasad, R Kadambur… - Swarm and Evolutionary …, 2018 - Elsevier
In this article we propose a multi-unit production planning based optimization strategy that
employs a set of integer and continuous variables to overcome many of the drawbacks of the …

An efficient multi-unit production planning strategy based on continuous variables

SS Chauhan, P Kotecha - Applied soft computing, 2018 - Elsevier
Production planning can significantly enhance the competitiveness and hence plays a
crucial role in manufacturing industries. In the production planning problem discussed in this …

Single-level production planning in petrochemical industries using novel computational intelligence algorithms

SS Chauhan, P Kotecha - … : Algorithms and Applications in Science and …, 2020 - Springer
Optimal production planning requires the solution of combinatorial optimization problems
that need to be efficiently modelled so as to be solved with computational intelligence (CI) …

Petrochemicals

BS Choudri, M Baawain - Water Environment Research, 2013 - Wiley Online Library
This is a review on literature published in 2012 that covered issues related to the occurrence
of petrochemicals in the environment as well as methods and techniques used for the …

Research and exploration on intelligent scheduling system in petrochemical industry

B Jiang, Y Zhao, W Gu - Computer Aided Chemical Engineering, 2018 - Elsevier
Scheduling is not only a key component of petrochemical factory production management,
but also the core of the implementation of production plan, the coordination of production …

[图书][B] Bayesian ranking and selection models for discrete network design problems with uncertainties and multiple environmental objectives

X Wang - 2013 - search.proquest.com
In this dissertation we develop a comprehensive Bayesian Ranking and Selection (R&S)
modeling framework for single and multi-objective Network Design Problem with Uncertainty …

Bayesian Ranking and Selection Model for Multi-Objective Discrete Network Design Problem with Uncertainties

XR Wang, HO Gao - 2014 - trid.trb.org
The design of sustainable transportation systems calls for multi-objective models which
accounts for congestion, environmental and energy objective in parallel. In this study the …