Keywords: light pollution control, TOPSIS evaluation, single factor analysis of variance, non-linear programming models, optimization algorithms, SLSQP method Citation: Zhou Z-H, Cao H-L, Feng T-Y and ...

Learn how to evaluate various linear programming methods and algorithms in Matlab using tips and tricks for performance, accuracy, and robustness.

An improved novel global harmony search algorithm (INGHS) was proposed (Ouyang et al., 2015) and the results indicate that the INGHS algorithm performs better than PSO and ABC algorithms in solving ...

Maximize profit and resource allocation in software development using the simplex algorithm. Learn how to optimize project selection and server utilization with linear programming. Discover the ...

Feature selection represents a major challenge in the biomedical data mining problem, and numerous algorithms have been proposed to select an optimal subset of features with the best classification ...

Hence, in the classification task, finding the optimal subset of features is of utmost importance. Metaheuristic techniques have proved their efficacy in solving many real-world optimization issues.

Optimize labor scheduling in construction with linear programming techniques. Minimize costs, maximize preferences, and adapt to changing demands.