[HTML][HTML] Path planning techniques for mobile robots: Review and prospect
L Liu, X Wang, X Yang, H Liu, J Li, P Wang - Expert Systems with …, 2023 - Elsevier
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 …
distance and least time-consuming from the starting point to the end point by a mobile robot …
UAV-assisted data collection for Internet of Things: A survey
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 …
vehicles (UAVs) have been widely applied in the areas of disaster management, agricultural …
Empowering metasurfaces with inverse design: principles and applications
Conventional human-driven methods face limitations in designing complex functional
metasurfaces. Inverse design is poised to empower metasurface research by embracing fast …
metasurfaces. Inverse design is poised to empower metasurface research by embracing fast …
Ant colony optimization for traveling salesman problem based on parameters optimization
Y Wang, Z Han - Applied Soft Computing, 2021 - Elsevier
Traveling salesman problem (TSP) is one typical combinatorial optimization problem. Ant
colony optimization (ACO) is useful for solving discrete optimization problems whereas the …
colony optimization (ACO) is useful for solving discrete optimization problems whereas the …
A bilevel ant colony optimization algorithm for capacitated electric vehicle routing problem
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 …
problem (VRP) called the capacitated EV routing problem (CEVRP). Because of the limited …
Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …
J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …
engineers, science, and technology communities. This attraction is due to their broad …
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
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 …
for the optimisation of water resources systems has been an active research field for over …
Discrete spider monkey optimization for travelling salesman problem
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 …
years. Collective intelligence of various social insects such as ants, bees, wasps, termites …
A novel collaborative optimization algorithm in solving complex optimization problems
W Deng, H Zhao, L Zou, G Li, X Yang, D Wu - Soft Computing, 2017 - Springer
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 …
slow global convergence speed in ant colony optimization (ACO) algorithm in solving …
A new hybrid method based on particle swarm optimization, ant colony optimization and 3-opt algorithms for traveling salesman problem
Abstract The Traveling Salesman Problem (TSP) is one of the standard test problems used
in performance analysis of discrete optimization algorithms. The Ant Colony Optimization …
in performance analysis of discrete optimization algorithms. The Ant Colony Optimization …