Wind-generated wave energy is a renewable energy source that exhibits a huge potential
for sustainable growth. The design and deployment of wave energy converters at a given …

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

Abstract Coral Reefs Optimization (CRO) is a recently proposed evolutionary-type algorithm
which has shown promising results to tackle many complex optimization problems. This …

The continuous growing demand for water, prolonged periods of drought, and climatic
uncertainties attributed mainly to climate change mean surface water reservoirs more than …

This paper presents a residential hybrid thermal/electrical grid-connected home energy
system (HES), including a fuel-cell with combined heat and power and a battery-based …

In this paper, we tackle a problem of frequency assignment in Wi-Fi networks with a novel
evolutionary-type algorithm. In this version of the problem, we consider the interferences …

An efficient global adaptive algorithm is required to determine the parameters of infinite
impulse response (IIR) filter owing to the error cost surface of adaptive IIR system …

Abstract The Jiles–Atherton model is widely applied in the description of hysteresis in
ferromagnetic, ferroelectric, magnetostrictive and piezoelectric materials, however the …

Extreme learning machine (ELM) is a novel and fast learning method to train single layer
feed-forward networks. However due to the demand for larger number of hidden neurons …

The Unequal Area Facility Layout Problem (UA-FLP) is a relevant optimization problem
related to industrial design, that deals with obtaining the most effective allocation of facilities …