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
Most countries, including Japan, are focused on achieving net‐zero greenhouse gas (GHG) emissions by 2050, which requires quick action. Despite the increasing level of renewable power generation in power grids, fossil fuel power plants still have a significant role in producing GHG emissions, causing serious environmental issues.
Kadyrbek Kozhobekov +4 more
wiley +1 more source
LinearCDSfold: a tool for co-optimizing secondary structure stability and codon usage in coding sequence design. [PDF]
Liu YS, Ju YR, Chang KW, Lu CL.
europepmc +1 more source
Multi-objective sizing and performance optimization of islanded hybrid renewable microgrids: a case study in yanbu, Saudi Arabia. [PDF]
Saleh AA, Magdy G.
europepmc +1 more source
Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation
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
A memorized multi-objective Sinh-Cosh optimizer for solving multi-objective engineering design problems. [PDF]
El-Nagar D, Zeidan I, Issa M.
europepmc +1 more source
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
Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor
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
Multi-objective optimization of a regional biogas supply chain using organic waste. [PDF]
Malashin IP +5 more
europepmc +1 more source
Design of a Li-ion battery cooling system incorporating PCM, heat pipes, and liquid circuits using marine predator algorithm-enhanced ANN and multi-verse optimization. [PDF]
Ali NB +7 more
europepmc +1 more source

