Mobile robot path planning refers to the design of the safely collision-free path with shortest
distance and least time-consuming from the starting point to the end point by a mobile robot …

Energy storage is essential to address the intermittent issues of renewable energy systems,
thereby enhancing system stability and reliability. This paper presents the design and …

Background This review focuses on reviewing the recent publications of swarm intelligence
algorithms (particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee …

This study developed a novel optimization algorithm, called Forensic-Based Investigation
(FBI), inspired by the suspect investigation–location–pursuit process that is used by police …

Firefly algorithm (FA) is a classical and efficient swarm intelligence optimization method and
has a natural capability to address multimodal optimization. However, it suffers from …

Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …

The energy consumption in buildings, which accounts for approximately one-third of the total
energy used in the world, can be reduced significantly by employing adaptive façades. In …

In this paper, a new optimization algorithm called the search and rescue optimization
algorithm (SAR) is proposed for solving single‐objective continuous optimization problems …

This study develops a Multi-Objective Jellyfish Search (MOJS) algorithm to solve
engineering problems optimally with multiple objectives. Lévy flight, elite population, fixed …

The transition towards zero and net-zero buildings necessitates identifying sustainable and
effective renewable energy systems to reduce the impacts of operational energy. This study …