Multi-objectivization is the process of transforming a single objective problem into a multi-
objective problem. Research in evolutionary optimization has demonstrated that the addition …

Software configuration tuning is essential for optimizing a given performance objective (eg,
minimizing latency). Yet, due to the software's intrinsically complex configuration landscape …

There exist optimization problems with the target objective, which is to be optimized, and
several extra objectives, which may or may not be helpful in the optimization process. This …

Ideally, the electronic components that route electricity through power supplies, inverters,
and electric motors are cheap, efficient, and capable of handling high voltages. Judged in …

There exist optimization problems with the target objective, which is to be optimized, and
several extra objectives, which can be helpful in the optimization process. The EA+ RL …

Worst-case execution time tests can be tricky to create for various computer science
algorithms. To reduce the amount of human effort, authors suggest using search-based …

To estimate performance of computer science algorithms reliably, one has to create worst-
case execution time tests. For certain algorithms this task can be difficult. To reduce the …

Usually in reinforcement learning, the goal of the agent is to maximize the expected return.
However, in practical applications, algorithms that solely focus on maximizing the mean …

Использование виртуальных тренажеров является важнейшим трендом развития
современного образования, в том числе для непрерывного образования специалистов …

Vultures are nature's garbage collectors, helping the environment by consuming dead
animal carcasses. In this way, they are essential in stopping the spread of diseases such as …