The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …

We propose a parallel distributed model of a hybrid fuzzy genetics-based machine learning
(GBML) algorithm to drastically decrease its computation time. Our hybrid algorithm has a …

This article presents an approach for the efficient and transparent parallelization of a large
class of swarm algorithms, specifically those where the multiagent paradigm is used to …

Intelligent optimization algorithms, such as the genetic algorithm (GA) and particle swarm
optimization (PSO), have been widely used for harmonic minimization in power converters …

Heterogeneous architecture to process swarm optimization algorithms SciELO - Scientific
Electronic Library Online vol.17 issue32 Effect of trade and regulatory policies on level users …

Desde años recientes, el paralelismo hace parte de la arquitectura de las computadoras
personales al incluir unidades de co-procesamiento como las unidades de procesamiento …

Systemic computation (SC) is a bio-inspired computational paradigm designed to model the
behaviour of natural systems and processes. It adopts a holistic view, meaning that apart …

Many researchers has conjectured, argued, or in some cases demonstrated, that bio-
plausibility can bring about emergent properties such as adaptability, scalability, fault …

Many promising optimization algorithms for solving numerical optimization problems come
from population-based metaheuristics. A few of them are based on Swarm-Intelligence …

The parallel computing revolution is being driven by multiprocessor and multicore platforms.
This abstract offers a succinct summary of these systems, their importance, and the main …