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

Automation is increasingly at the forefront of transportation research, with the potential to
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …

Abstract The Newton-Raphson-Based Optimizer (NRBO), a new metaheuristic algorithm, is
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …

This study proposes a novel artificial protozoa optimizer (APO) that is inspired by protozoa in
nature. The APO mimics the survival mechanisms of protozoa by simulating their foraging …

Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …

Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …

Due to the strong adaptability and high flexibility, unmanned aerial vehicles (UAVs) have
been extensively studied and widely applied in both civil and military applications. Although …

Activity-based scheduling optimization is a combinatorial problem built on the traveling
salesman problem intending to optimize people schedules considering their trips and the …

Unmanned aerial vehicle (UAV) has been extensively studied and widely adopted in
practical systems owing to its effectiveness and flexibility. Although heterogeneous UAVs …

Abstract Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the
performance of metaheuristics. However, these SBPs may include various unrealistic …