Results 91 to 100 of about 28,586 (232)
Application of Adaptive Genetic Algorithm in Optimal Scheduling of Aviation Materials
Journal of Applied Mathematics, 2022 The maintenance and logistics support of aircraft are critical to the flight safety. The configuration and scheduling of air materials are the basis of maintenance and logistics.
Jinqiu Shang
doaj +1 more source
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
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 +4 more
doaj +1 more source
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 +2 more
wiley +1 more source
Evolving dynamic multiple-objective optimization problems with objective replacement [PDF]
, 2005 This paper studies the strategies for multi-objective optimization in a dynamic environment. In particular, we focus on problems with objective replacement, where some objectives may be replaced with new objectives during evolution.
Chen, Q, Guan, SU, Mo, W
core
On NSGA-II and NSGA-III in Portfolio Management [PDF]
Intelligent Automation & Soft Computing, 2022 Mahmoud Awad 0005 +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 +4 more
wiley +1 more source
Reduction of the Pareto Set in Bicriteria Asymmetric Traveling Salesman Problem
, 2018 We consider the bicriteria asymmetric traveling salesman problem (bi-ATSP). Optimal solution to a multicriteria problem is usually supposed to be the Pareto set, which is rather wide in real-world problems.
Kovalenko, Yulia V. +1 more
core +1 more source
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 +5 more
wiley +1 more source
Multi-objective optimization of construction project management based on an improved genetic algorithm [PDF]
Archives of Civil EngineeringIn 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