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 …

Vehicle routing problems constitute a class of combinatorial optimization tasks that search
for optimal routes (eg, minimal cost routes) for one or more vehicles to attend a set of nodes …

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 …

This paper introduces a hybrid method that uses Firefly Algorithm (FA) and Linde-Buzo-Gray
(LBG) algorithm to Channel-Optimized Vector Quantization (COVQ) codebook design. Fast …

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 …

Multiobjective clustering techniques have been used to simultaneously consider several
complementary aspects of clustering quality. They optimize two or more cluster validity …

The amount of data generated in different knowledge areas has made necessary the use of
data mining tools capable of automatically analyzing and extracting knowledge from …

The electricity demand is growing due to increasing population and fast industrial
development. To meet the worldwide energy requirement, the greatest possibilities are the …

Different methods have been used to train radial basis function neural networks. This paper
proposes a bee-inspired algorithm to automatically select the number and location of basis …