Results 81 to 90 of about 5,089,183 (236)

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

Sustainable Development, EarlyView.
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley   +1 more source

Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

Structural Concrete, EarlyView.
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee, Byeung‐Kuy Jung, Byung Kwan Oh   +2 more
wiley   +1 more source

A Layered NSGA-II Method for LEO Target Census Constellation Design

Sensors
To address the pressure of space target census posed by low-orbit mega-constellations such as Starlink, this paper proposes an LEO target census constellation design method based on a layered NSGA-II algorithm.
Changshou Quan, Ping Jian
doaj   +1 more source

On NSGA-II and NSGA-III in Portfolio Management [PDF]

Intelligent Automation & Soft Computing, 2022
Mahmoud Awad 0005, Mohamed Abouhawwash, H. N. Agiza   +2 more
openaire   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

A Bi-Objective Reverse Logistics Network Design Under the Emission Trading Scheme

IEEE Access, 2019
In general, reverse logistics network design has been driven by a need to reduce costs and to improve customer service without considering its environmental impact.
Qunli Yuchi, Nengmin Wang, Shuang Li, Zhen Yang, Bin Jiang   +4 more
doaj   +1 more source

MOEA/D‐based multi‐row facility layout optimisation method with discontinuity perceiving of the Pareto front

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo, Yao Huang, Jian Cheng, Xiaoyu Ban, Xiaoxiao Zhao, Tianyu Liu   +5 more
wiley   +1 more source

Multi-objective optimization of construction project management based on an improved genetic algorithm [PDF]

Archives of Civil Engineering
In construction project management, it is crucial to consider multiple objectives, such as duration and cost, to develop an optimal plan. This paper established a multi-objective optimization model, taking into account the construction period, cost ...
Xiaoyan Dai, Wanwan Xia, Yingwen Xu
doaj   +1 more source

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley   +1 more source

A Collaborative Optimisation Strategy of Electric Agricultural Machinery Clusters and Rural Distribution Network in Renewable Energy Storage Application Scenario

IET Smart Energy Systems, EarlyView.
This paper proposes a two‐stage electric agricultural machinery charging optimisation strategy that first adjusts Charging scheduling to minimise load variance, then uses V2G technology with idle machinery as energy storage to reduce fluctuation and improve PV integration, solved via NSGA‐II and TOPSIS.
Qiang Yu, Zihong Jiang, Xionglin He, Yongji Chen, Lianyue Niu, Wei Tang, Jian Zhao   +6 more
wiley   +1 more source