The optimization method is developed by integrating a multi-objective artificial bee colony (MOABC) optimization algorithm implemented in MATLAB with EnergyPlus building energy simulation tool.
We conclude that weed management strategies should be thought by integrating a multi-level approach as the combined effects of local management and landscape heterogeneity are likely to both reduce weed infestation whilst enhancing biodiversity.
In summary, we demonstrate that our method can accurately infer the underlying relationships between transcription factor and the downstream target genes by integrating multi-sources of biological data.
The method involves integrating an empirical multi-dynamics simulation model using commercially available software to save time in design.
The paper entitled "Coorbit theory, multi- alpha-modulation frames and the concept of joint sparsity for medical multichannel data analysis" by Stephan Dahlke et al. presents a signal processing technique that detects and separates signal components such as mMCG, fMCG, or MMG by integrating coorbit theory, multi-α-modulation frames, and the concept of joint sparsity measures.
The approach integrates a complete multi-physics TEC model and a simplified conjugate-gradient method.
By integrating different combinations of the multi-antenna techniques in physical layer with various constraints from MAC and network layers, three Mixed Integer Linear Programming (MILP) models are presented to minimize the system activation time.
For that purpose the design capabilities of SysML are extended by integrating it with Consol-Optcad, a powerful multi-criteria optimization tool for trade-off analysis.
Subsequently, these five processes and three industries were evaluated using strategic decision making approach by integrating group decision making and fuzzy multi-criteria decision making methods.
The objective of this paper is to develop a community-centered approach by integrating rapid and participatory nature of design thinking with multi-criteria decision analysis (MCDA) in order to support sustainable development.
As an application case, we describe a colorectal cancer case study that makes use of the multi-omics feature by integrating gene expression and DNA methylation data.
