This in-depth analysis is a must-read to help you master optimization secrets! In today's fiercely competitive technology ...

Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved good results in solving MOCO problems.

This paper investigates a distributed aggregative optimization problem, focusing on formation control within local constraint sets over multi-robot system. Each robot's local objective function is ...

This study investigates the efficiency of double-tuned mass dampers and the optimization of their dynamic characteristics to minimize structural displacement and acceleration. The tuning process is ...

The Police Department has already blown through its overtime budget halfway through the fiscal year as departures rise and the agency struggles to recruit.

Finally, the effectiveness and superiority of the the proposed optimization method are verified by the experiment results on some stand test problems and the optimization problem for the oil-gas ...

Secondly, based on grey correlation analysis, the multi-objective optimization problem is transformed into a single objective optimization problem about correlation degree, and applying the response ...