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 …

Thanks to the advantages of flexible deployment and high mobility, unmanned aerial
vehicles (UAVs) have been widely applied in the areas of disaster management, agricultural …

Conventional human-driven methods face limitations in designing complex functional
metasurfaces. Inverse design is poised to empower metasurface research by embracing fast …

Traveling salesman problem (TSP) is one typical combinatorial optimization problem. Ant
colony optimization (ACO) is useful for solving discrete optimization problems whereas the …

The development of electric vehicle (EV) techniques has led to a new vehicle routing
problem (VRP) called the capacitated EV routing problem (CEVRP). Because of the limited …

Reinforcement learning algorithms describe how an agent can learn an optimal action policy
in a sequential decision process, through repeated experience. In a given environment, the …

Abstract Grey Wolf Optimizer (GWO) is a recently developed population-based metaheuristic
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …

Meta-heuristic algorithms inspired by biological species have become very popular in recent
years. Collective intelligence of various social insects such as ants, bees, wasps, termites …

The development and application of evolutionary algorithms (EAs) and other metaheuristics
for the optimisation of water resources systems has been an active research field for over …

To overcome the deficiencies of weak local search ability in genetic algorithms (GA) and
slow global convergence speed in ant colony optimization (ACO) algorithm in solving …