Application of hybrid machine learning algorithm in multi-objective optimization of green building energy efficiency
Y Zhu, W Xu, W Luo, M Yang, H Chen, Y Liu - Energy, 2025 - Elsevier
Green building design strives to optimize energy efficiency, emissions reduction, cost-
effectiveness, and thermal comfort by accurately predicting and optimizing building …
effectiveness, and thermal comfort by accurately predicting and optimizing building …
Contaminations in water distribution systems: a critical review of detection and response methods
Water distribution networks play a crucial role in delivering safe water to communities.
However, their extensive reach and complex structure make them susceptible to …
However, their extensive reach and complex structure make them susceptible to …
Contamination event diagnosis in drinking water networks: A review
Water distribution systems are susceptible to contamination events, which can occur due to
naturally occurring events, accidents or even malicious attacks. When a contamination event …
naturally occurring events, accidents or even malicious attacks. When a contamination event …
An improved NSGA-III integrating adaptive elimination strategy to solution of many-objective optimal power flow problems
J Zhang, S Wang, Q Tang, Y Zhou, T Zeng - Energy, 2019 - Elsevier
This paper formulates the OPF problem as a many-objective OPF (Ma-OPF) problem with
consideration of minimizing many objective functions including the total fuel cost (TFC), total …
consideration of minimizing many objective functions including the total fuel cost (TFC), total …
An ensemble learning based multi-objective evolutionary algorithm for the dynamic vehicle routing problem with time windows
Abstract The Vehicle Routing Problem (VRP) is a typical combinatorial optimization problem
and has been studied for many years. However, there are few researches on the Dynamic …
and has been studied for many years. However, there are few researches on the Dynamic …
An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization
Recently, multi-objective evolutionary algorithms (MOEAs) have been widely explored and
applied to many real-world problems. Particularly, preference-based MOEAs are among the …
applied to many real-world problems. Particularly, preference-based MOEAs are among the …
Optimal sensor placement for modal-based health monitoring of a composite structure
Optimal sensor placement is one of the important issues in monitoring the condition of
structures, which has a major influence on monitoring system performance and cost. Due to …
structures, which has a major influence on monitoring system performance and cost. Due to …
Multi-objective parallel adjacent U-shaped assembly line balancing collaborated by robots and normal and disabled workers
P Chutima, A Khotsaenlee - Computers & Operations Research, 2022 - Elsevier
This paper emphasises the parallel adjacent U-shaped assembly line balancing problem in
which the collaborative work forces in the system comprise human workers and robots. Apart …
which the collaborative work forces in the system comprise human workers and robots. Apart …
Pressure sensor placement for leak localization in water distribution networks using information theory
This paper presents a method for optimal pressure sensor placement in water distribution
networks using information theory. The criterion for selecting the network nodes where to …
networks using information theory. The criterion for selecting the network nodes where to …
Evolutionary multi and many-objective optimization via clustering for environmental selection
Recently, multi and many-objective evolutionary algorithms (MOEAs) embedded with
clustering techniques to enhance their environmental selection show promising …
clustering techniques to enhance their environmental selection show promising …