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 …
W Wang, L Xu, K Chau, D Xu - Expert Systems with Applications, 2020 - Elsevier
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 …