Numerous path-planning studies have been conducted in past decades due to the
challenges of obtaining optimal solutions. This paper reviews multi-robot path-planning …

The population of the world is predicted to reach nine billion by 2050, implying that
agricultural output must continue to rise. To deal with population expansion, agricultural …

Particle swarm optimization (PSO) algorithm has a potential to solve route planning problem
for unmanned aerial vehicle (UAV). However, the traditional PSO algorithm is easy to fall …

Dynamic path planning has gained increasing popularity in mobile robot navigation. Some
of the current path planning methods require a priori information about the motion space and …

Complex surface plays a vital role in the aeronautical industries for its preferable mechanical
properties. However, machining such complexity is challenging without post-process …

This paper presents a hybrid algorithm to solve the multi-objective path planning (MOPP)
problem for mobile robots in a static nuclear accident environment. The proposed algorithm …

Interval many-objective optimization problems (IMaOPs) involve more than three conflicting
objectives with interval parameters. Various real-world applications under uncertainty can …

Multi-objective optimization problems with interval parameter (IMOPs) are among the most
critical optimization problems in practical applications. However, in contrast to deterministic …

Single-objective optimal trajectory cannot adapt to the complex requirements of excavator
construction. A comprehensive optimal trajectory planning method is proposed to optimize …

Addressing the challenges of low convergence accuracy and stagnation at local optima in
the application of the golden jackal optimizer (GJO) to mobile robot path planning, this paper …