Abstract The “No Free Lunch” theorem states that, averaged over all optimization problems,
without re-sampling, all optimization algorithms perform equally well. Optimization, search …

The Internet of Things (IoT) has risen from ubiquitous computing to the Internet itself. Internet
of vehicles (IoV) is the next emerging trend in IoT. We can build intelligent transportation …

Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …

In machine learning, a combination of classifiers, known as an ensemble classifier, often
outperforms individual ones. While many ensemble approaches exist, it remains, however, a …

A large variety of issues influence the success of data mining on a given problem. Two
primary and important issues are the representation and the quality of the dataset …

A photovoltaic (PV) generation system (PGS) is becoming increasingly important as
renewable energy sources due to its advantages such as absence of fuel cost, low …

This paper introduces an improved accelerated particle swarm optimization algorithm
(IAPSO) to solve constrained nonlinear optimization problems with various types of design …

Warehouses constitute a key component of supply chain networks. An improvement to the
operational efficiency and the productivity of warehouses is crucial for supply chain …

Due to environmental concerns, power system generation is shifting from traditional fossil-
fuel resources to renewable energy such as wind, solar and geothermal. Some of these …

One of the main design aspects of Wireless Sensor Networks (WSNs) is the deployment
strategy of the sensors. In general, WSN deployment methods fall under two categories …