Optimization is the branch of applied mathematics and computational science concerned with finding the best solution to a problem from a set of feasible alternatives, typically by maximizing or minimizing an objective function subject to constraints. It encompasses linear, nonlinear, combinatorial, and stochastic me…
Optimization is the branch of applied mathematics and computational science concerned with finding the best solution to a problem from a set of feasible alternatives, typically by maximizing or minimizing an objective function subject to constraints. It encompasses linear, nonlinear, combinatorial, and stochastic methods, including gradient-based techniques and metaheuristics such as genetic algorithms and nature-inspired search. Optimization is widely applied across engineering, operations research, manufacturing, geosciences, and the life sciences to improve processes, designs, and resource allocation. Research grouped under this topic spans algorithmic and applied optimization. Studies employ genetic algorithms coupled with neural networks and nature-inspired algorithms to interpret geophysical and geoelectrical data, and apply experimental-design and statistical optimization, including Taguchi and composite-design methods, to materials, adhesion, and hydrogen-production processes. Bioprocess-oriented work optimizes enzyme production such as laccase and cellulase under fermentation conditions, and food-process studies optimize drying parameters for plant-material processing. Additional studies address inventory modeling with fuzzy logic and sensitivity analysis, sustainable urban development, and waste-to-biodiesel transesterification. This peer-reviewed literature supports researchers using model-based and computational optimization to enhance experimental design, process efficiency, and decision-making across scientific and engineering domains.
12 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 12 articles above have been cited 49 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on Optimization, linking to each citing work.