Swarm intelligence principles have been widely studied and applied to a number of different
tasks where a group of autonomous robots is used to solve a problem with a distributed …

Evolutionary robotics applies the selection, variation, and heredity principles of natural
evolution to the design of robots with embodied intelligence. It can be considered as a …

While evolutionary computation and evolutionary robotics take inspiration from nature, they
have long focused mainly on problems of performance optimization. Yet evolution in nature …

Swarm robotics is a promising approach for the coordination of large numbers of robots.
While previous studies have shown that evolutionary robotics techniques can be applied to …

In contrast to the conventional role of evolution in evolutionary computation (EC) as an
optimization algorithm, a new class of evolutionary algorithms has emerged in recent years …

One of the long-term goals in evolutionary robotics is to be able to automatically synthesize
controllers for real autonomous robots based only on a task specification. While a number of …

The study investigates the impact of weblog use on individual learning in a university
environment. Weblogs are a relatively new knowledge sharing technology, which enables …

Novelty search is a state-of-the-art evolutionary approach that promotes behavioural novelty
instead of pursuing a static objective. Along with a large number of successful applications …

Evolutionary robotics (ER) is often viewed as the application of a family of black-box
optimization algorithms—evolutionary algorithms—to the design of robots, or parts of robots …

Novelty search and related diversity-driven algorithms provide a promising approach to
overcoming deception in complex domains. The behavior characterization (BC) is a critical …