Through the combination of probabilistic search, multiobjective formulation of local moves and the dynamic penalty method, the multiobjective ACSRAP, allows us to obtain an optimal design solution very frequently and more quickly than with some other heuristic approaches.
In supervising the whole review process, the second author specifically supported search strategy formulation, article selection, analysis of the articles and revision of the final draft of this paper.
Therefore, the search for herbal formulation with antidiabetic activity remains a topic of research interest.
To address this issue, we introduce a new formulation: search for a TF module whose member TFs tend to cooperatively regulate gene expression in multiple instances but not necessarily in all perturbation instances.
Nevertheless, mathematical problems lingered on and prompted a search for rigorous formulations (to be discussed in the main article).
The design formulation searches for an optimal solution having a minimum structural weight with a uniform ductility demand while, at the same time, meeting displacement, strength, and strong-column weak-beam constraints.
Hence, search of plant formulations with minimum toxicity remains a challenge.
Processes of question formulation, searching, selection, data extraction, critique and synthesis are characterised as iterative, interactive, dynamic and recursive rather than as fixed procedures to be accomplished in a pre-defined sequence.
The response surface methodology (RSM) and multiple response optimization utilizing the polynomial equation were used to search for the optimal formulation with specific release rate at different time intervals and to quantify the effect of each formulation variables.
