An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective

SM Mousavi, K Sadeghi R, LS Lee - Journal of Business Analytics, 2023 - Taylor & Francis
Sustainable development is a problem-solving method that simultaneously accounts for the
economic, environmental, and social impacts of actions. Decision-makers have recently …

An interactive decision-support system for multi-objective optimization of nonlinear dynamic processes with uncertainty

M Vallerio, J Hufkens, J Van Impe, F Logist - Expert Systems with …, 2015 - Elsevier
The manufacturing industry is faced with the challenge to constantly improve its processes,
eg, due to lower profit margins, more strict environmental policies and increased societal …

Feasibility of rigorous multi-objective optimization of wastewater management and treatment plants

ABB de Faria, A Ahmadi, L Tiruta-Barna… - … Research and Design, 2016 - Elsevier
The present paper describes a study on the feasibility of coupling rigorous dynamic
modelling (DM) and its extended boundaries through Life Cycle Assessment (LCA) with an …

Why use interactive multi-objective optimization in chemical process design?

K Miettinen, J Hakanen - MULTI-OBJECTIVE OPTIMIZATION …, 2017 - World Scientific
Problems in chemical engineering, like most real-world optimization problems, typically,
have several conflicting performance criteria or objectives and they often are …

An archive-based multi-objective evolutionary algorithm with adaptive search space partitioning to deal with expensive optimization problems: Application to process …

A Ahmadi, L Tiruta-Barna, F Capitanescu… - Computers & Chemical …, 2016 - Elsevier
In eco-design, the integration of environmental aspects into the earliest stage of design is
considered with the aim of reducing adverse environmental impacts throughout a product's …

Data-driven interactive multiobjective optimization: Challenges and a generic multi-agent architecture

B Afsar, D Podkopaev, K Miettinen - Procedia Computer Science, 2020 - Elsevier
In many decision making problems, a decision maker needs computer support in finding a
good compromise between multiple conflicting objectives that need to be optimized …

Scale forecast method for regional highway network based on BPNN-MOP

H Yang, X Li, B Wu - Transportation research procedia, 2017 - Elsevier
The forecast of the scale of highway network is of great importance in the planning of
regional highway network. This paper is to seek a hybrid method to improve the accuracy …

A new genetic algorithm based on prenatal genetic screening (PGS-GA) and its application in an automated process flowsheet synthesis problem for a membrane …

A Shafiee, M Nomvar, Z Liu, A Abbas - Chemical Engineering Research …, 2017 - Elsevier
The genetic algorithm (GA) is a widely used optimization algorithm that mimics the process
of natural selection to search and find useful solutions among sets of generations. In GA …

A Multifractal-Guided Multilevel Surrogate Model-Based Evolutionary Algorithm for Expensive Multiobjective Problems

D Zhang, J Liao, X Huang, J Jin - Journal of Circuits, Systems and …, 2017 - World Scientific
In applied engineering, there are tremendous optimization problems which are
multiobjective problems. Meanwhile, a number of them require large amount of time to …

[PDF][PDF] Modern challenges of multiobjective optimization as a decision support discipline.

D Podkopaev - International Journal of Operations Research, 2020 - orstw.org.tw
Multiobjective optimization started as a mathematical discipline, is gradually becoming a
multidisciplinary field of study, finding its place in operational research, multiple criteria …