This paper describes a new evolutionary algorithm that is especially well suited to AI-
Assisted Game Design. The approach adopted in this paper is to use observations of AI …

In evolutionary optimization, it is important to use efficient evolutionary operators, such as
mutation and crossover. But it is often difficult to decide, which operator should be used …

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 …

We perform theoretical analysis for a previously proposed method of enhancing
performance of an evolutionary algorithm with reinforcement learning. The method …

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 …

It has been shown that single-objective optimization may be improved by introducing
auxiliary objectives. Ideally, auxiliary objectives should be designed to be independent …

Artificial intelligence systems based on neural networks have had quite a string of recent
successes: One beat human masters at the game of Go, another made up beer reviews, and …

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