[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 ...

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 ...

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

Giovanni Rinaldi, Ajit C Pillai, Philipp R Thies, Lars Johanning, Multi-objective optimization of the operation and maintenance assets of an offshore wind farm using genetic algorithms, Wind ...

Considering the undesirable characteristics of the balance shaft, such as cost, weight, friction, and noise, as well as dynamically inappropriate mass unbalancing method, this research proposes ...

According to Theyr CEO and Founder David Young, T-VOS differs from earlier generation voyage management software in its adoption of multi-objective algorithmic techniques.

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