Pursuit-evasion is fascinating in both nature and artificial world. Typically, a pursuer runs
faster than its targeted evader while with less agile maneuverability. Naturally, there is a …

This article proposes single-objective/multiobjective cat swarm optimization clustering
algorithms for data partition. The proposed methods use the cat swarm to search the optimal …

Modeling of crowd and pedestrian dynamics has intrigued engineers, physicists, and
sociologists alike, even in recent times. Scientists have long sought to model the collective …

In order to establish solid credibility, a science should be backed by mathematics and
models. Even some soft sciences, such as finance, offer compelling mathematical and …

In this paper, we first formulate the confinement-escape problem of a defender and an
evader who attempts escaping from a circular region, which differs from the traditional …

This article studies an operation optimization problem in a steelmaking process. Shortly
before the tapping of molten steel from the basic oxygen furnace (BOF), end-point control …

Cooperative navigation and swarm decision making take center stage in a broad range of
distributed applications with high-environmental and measurement uncertainties. Here, we …

The failure of complex artificial intelligence (AI) systems seems ubiquitous. To provide a
model to describe these shortcomings, we define complexity in terms of a system's sensors …

Od bardzo dawna ludzie zadają sobie pytania: kim jesteśmy, skąd się wzięliśmy, jak powstał
otaczający nas świat i czy jest jakiś cel naszego istnienia. W niniejszej pracy interesuje mnie …

One of the benefits of using Combs disjunctive control in swarm intelligence is the ability of
the swarm to continue to operate even when one or more of its sensors are broken. Instead …