Two renewable energies are included in the combined heat and power (CHP) system to
optimize its energy configuration, and they are wind power generation and photovoltaic …

Robot target recognition is a critical and fundamental machine vision task. In this paper,
InVision, a robot target recognition approach is proposed using deep federated learning …

In a canonical particle swarm optimization (PSO) algorithm, the fitness is a widely accepted
criterion when selecting exemplars for a particle, which exhibits promising performance in …

The traditional coal energy system cannot meet the requirements of modern industrial
production for sustainable development because extensive economic growth has caused …

Combining response strategies into multi-objective evolutionary algorithms (MOEAs) for
dynamic multi-objective optimization problems (DMOPs) is very popular. However, most of …

Agile software development methodologies are used to meet the changing needs in the
market. The most popular framework among these methodologies is the Scrum framework …

There are many fields involving multi-objective optimization problems in presence of
dynamic and interval environments (DI-MOPs), in which the number of objective functions is …

Most of the existing dynamic multi-objective evolutionary algorithms (DMOEAs) are effective,
which focuses on searching for the approximation of Pareto-optimal front (POF) with well …

Large-scale emergencies occur frequently around the world, causing serious casualties.
Emergency evacuation is one of the top priorities after a disaster. Due to the uncertain and …

The smart city is an idea of upcoming revolution in cities, which includes smart home, smart
mobility, smart living, and smart environment that can be operated using a smartphone …