Related Experiment Video
Updated: Jul 7, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Balancing competing objectives in bigel formulations using many-objective optimization algorithms and different
Mohamed Kouider Amar1, Soufiane Rahal2, Maamar Laidi3
1Biomaterials and Transport Phenomena Laboratory (LBMPT), University Dr., Yahia Fares of Medea, Medea 26000, Algeria; Department of Process Engineering, Institute of Technology, University Dr., Yahia Fares of Medea, Medea 26000, Algeria; Laboratory of Quality Control, Physico-Chemical Department, SAIDAL of Medea, Medea 26000, Algeria; Faculty of Technology, University Dr., Yahia Fares of Medea, Medea 26000, Algeria.
This study optimized bigel systems using many-objective optimization (MaOEAs) to balance conflicting properties like microstructural characteristics, stability, and drug release. The RSM-RVEA approach demonstrated effective convergence for complex formulation challenges.
Area of Science:
- Materials Science
- Chemical Engineering
- Pharmaceutical Sciences
Background:
- Bigel systems are crucial for drug delivery, requiring optimization of multiple properties like rheology, stability, and drug release.
- Balancing competing objectives in bigel formulation presents significant challenges due to complex ingredient interactions.
Purpose of the Study:
- To explore evolutionary algorithms for optimizing microstructural, rheological, stability, and drug release properties of bigel systems.
- To address conflicting objectives in bigel formulation using many-objective optimization (MaOEAs) techniques.
- To develop a robust framework for compromising bigel performance and stability for drug delivery applications.
Main Methods:
- Formulation of bigel systems using structured almond oil, mixed organogelators, and carbopol.
- Characterization of microstructural, rheological, stability, and drug release properties.
- Application of Response Surface Methodology coupled with Many-Objective Evolutionary Algorithms (RSM-MaOEAs) and decision-making methods (WSM, WPM, NED).
Main Results:
- Bigels exhibited non-Newtonian shear-thinning and thixotropic behaviors, influenced by excipient proportions.
- Phase separation occurred in highly concentrated bigels under stress; lower viscosity bigels showed reduced drug release.
- FT-IR and HPLC confirmed drug-excipient compatibility and formulation stability with minimal impurities (<4%).
Conclusions:
- Complex interactions within lipid-based bigels necessitate MaOEAs for effective optimization.
- The RSM-RVEA approach showed superior convergence in optimizing conflicting bigel properties.
- The proposed RSM-MaOEAs framework offers a robust solution for bigel formulation, applicable to advanced drug delivery systems.
More Related Videos
Related Concept Videos
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Decision Making: P-value Method
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Decision Making
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Statically Indeterminate Problem Solving
Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

