As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

The interplay between nanoparticles (NPs) and plants greatly promotes the development of
research fields like nanotechnology, agriculture, food science, electrical engineering and …

Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …

Rapid industrialization has fueled the need for effective optimization solutions, which has led
to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over …

Abstract The Sine Cosine Algorithm (SCA) is an outstanding optimizer that is appreciably
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …

Supply chain efficiency is a major challenge in today's business environment, where efficient
resource allocation and coordination of activities are essential for competitive advantage …

The sand cat swarm optimization algorithm (SCSO) is a metaheuristic algorithm proposed by
Amir Seyyedabbasi et al. SCSO algorithm mimics the predatory behavior of sand cats, which …

Combinatorial metaheuristic optimization algorithms have newly become a remarkable
domain for handling real-world and engineering design optimization problems. In this paper …

Whale optimization algorithm (WOA) is a swarm-based optimization algorithm that has
recently attracted extensive interest and attention because of its excellent exploitation ability …

Success of metaheuristic algorithms depends on the efficient balance between of
exploration and exploitation phases. Any optimization algorithm requires a combination of …