The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological
behaviour of bird flocks searching for food sources. In this nature-based algorithm …

The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

This paper presents a new algorithm named spherical vector-based particle swarm
optimization (SPSO) to deal with the problem of path planning for unmanned aerial vehicles …

Automatic path planning problem is essential for efficient mission execution by unmanned
aerial vehicles (UAVs), which needs to access the optimal path rapidly in the complicated …

Over the last decade, the Internet of Things (IoT) has received much interest from the
research and industrial communities due to its fundamental role in altering the human …

Autonomous Underwater Vehicle are widely used in industries, such as marine resource
exploitation and fish farming, but they are often subject to a large amount of interference …

Wind and other renewable energy protects the ecological environment and improves
economic efficiency. However, it is difficult to accurately predict wind power because of the …

The path planning of Unmanned Aerial Vehicles (UAVs) is a complex and hard task that can
be formulated as a Large-Scale Global Optimization (LSGO) problem. A higher partition of …

This paper proposes a parallel fish migration optimization algorithm with compact
technology (PCFMO), and designs a sequential communication strategy between groups …