[4] Improved multi-objective differential evolution algorithm based on a decomposition strategy for multi-objective optimization problems. Scientific Reports (2022).

Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...

This article explores the use of genetic algorithms to optimize the operation and maintenance assets of an offshore wind farm. Three different methods are implemented in order to demonstrate the ...

Computational optics integrates optical hardware and algorithms, enhancing imaging capabilities through joint optimization ...

No algorithm for optimizing general nonlinear functions exists that always finds the global optimum for a general nonlinear minimization problem in a reasonable amount of time. Since no single ...

1. Effective decision-making in environmental management requires the consideration of multiple objectives that may conflict. Common optimization methods use weights on the multiple objectives to ...

Mathematical perfection in optimization is only as justified as the OF calculation is complete and true. The user needs to choose the optimizer, and the application characteristics should drive the ...

Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives.