The field of metaheuristics for the application to combinatorial optimization problems is a
rapidly growing field of research. This is due to the importance of combinatorial optimization …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

Este artigo apresenta uma breve revisão de alguns dos mais recentes métodos
bioinspirados baseados no comportamento de populações para o desenvolvimento de …

Ant colony optimization is a metaheuristic approach belonging to the class of model-based
search algorithms. In this paper, we propose a new framework for implementing ant colony …

Ant colony optimization (ACO) is a metaheuristic approach to tackle hard combinatorial
optimization problems. The basic component of ACO is a probabilistic solution construction …

A swarm is a large number of homogenous, simple agents interacting locally among
themselves, and their environment, with no central control to allow a global interesting …

Swarm intelligence (SI) algorithms represent a class of Artificial Intelligence (AI) optimization
metaheuristics used for solving complex optimization problems. However, a key challenge in …

In this paper we introduce model-based search as a unifying framework accommodating
some recently proposed metaheuristics for combinatorial optimization such as ant colony …

Teachers usually have a personal understanding of what “good teaching” means, and as a
result of their experience and educationally related domain knowledge, many of them create …

Simple Summary Microsatellite markers are widely used molecular markers for genetic
studies, but choosing the right set involves a challenging trade-off between effectiveness …