In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …

Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

This paper presents a novel bio-inspired optimization algorithm namely the Barnacles
Mating Optimizer (BMO) algorithm to solve optimization problems. The proposed algorithm …

Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based
algorithms. ABC simulates the intelligent foraging behaviour of a honeybee swarm. In this …

Swarm intelligence is a research field that models the collective intelligence in swarms of
insects or animals. Many algorithms that simulates these models have been proposed in …

Engineering design problems are generally large scale or nonlinear or constrained
optimization problems. The Artificial Bee Colony (ABC) algorithm is a successful tool for …

Swarm intelligence is an emerging area in the field of optimization and researchers have
developed various algorithms by modeling the behaviors of different swarm of animals and …

This paper proposes an optimized prediction algorithm of radial basis function neural
network based on an improved artificial bee colony (ABC) algorithm in the big data …

We present a comprehensive review of the evolutionary design of neural network
architectures. This work is motivated by the fact that the success of an Artificial Neural …

In recent years, swarm intelligence has proven its importance for the solution of those
problems that cannot be easily dealt with classical mathematical techniques. The foraging …