The simulation of biological processes has produced some of the most important meta-
heuristics algorithms for optimization. Evolutionary algorithms were the first, and probably …

Supervised text classification methods are efficient when they can learn with reasonably
sized labeled sets. On the other hand, when only a small set of labeled documents is …

This paper presents a novel bioinspired algorithm to tackle complex optimization problems:
the coral reefs optimization (CRO) algorithm. The CRO algorithm artificially simulates a coral …

Studies have established that hybrid models outperform single models. The particle swarm
algorithm (PSO)-based PID (proportional-integral-derivative) controller control system is …

This paper analyses a single manufacturer and multiple buyers supply chain where each
buyer faces a price-sensitive demand. The manufacturer produces the item at a finite rate …

When items are classified according to whether they have more or less of a characteristic,
the scale used is referred to as an ordinal scale. The main characteristic of the ordinal scale …

This paper reports the investigation on the sandpile mutation, an unconventional mutation
control scheme for binary Genetic Algorithms (GA) inspired by the Self-Organized Criticality …

Designing heterogeneous distributed systems requires of the use of tools that facilitate the
deployment and the interaction between platforms. In this paper we propose using Simple …

The efficacy of phenol transport from the aqueous phase to peat soil for assessment of the
attenuation capacity for migratory phenol in subsurface water pollution was investigated by …