Different methods have been used to train radial basis function (RBF) neural networks. This
paper proposes the use of a bee-inspired algorithm, named cOptBees, plus a heuristic to …

The bee colony optimization (BCO) algorithm with a linear dance function (denoted as the
BCO‐Linear algorithm) is inspired by the bees' foraging behaviors, in which waggle dances …

Intelligent agents called pricebots provide a convienient mechanism for implementing
automated dynamic pricing algorithms for sellers in an online economy. Pricebots enable an …

In this paper, an improved and much stronger RNH-QL method based on RBF network and
heuristic Q-learning was put forward for route searching in a larger state space. Firstly, it …

The Traveling Salesman Problem (TSP) is a combinatorial optimization problem widely used
to test new heuristics. Bee-inspired algorithms are receiving great attention from the Swarm …

针对递归RBF 神经网络结构难以自适应问题, 提出一种基于递归正交最小二乘(recursive
orthogonal least squares, ROLS) 算法的结构设计方法. 首先, 利用ROLS …

Over the past two decades a wide range of nature-inspired clustering algorithms has been
proposed in the literature with competitive performance when applied to solving real-world …

O crescente acúmulo de dados, das mais diversas origens, traz intrinsecamente a
necessidade de desenvolvimento de novas e robustas ferramentas de análise. Dentre os …