An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems
Bat algorithm is a population metaheuristic proposed in 2010 which is based on the
echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat …
echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat …
A discrete bat algorithm based on Lévy flights for Euclidean traveling salesman problem
Y Saji, M Barkatou - Expert Systems with Applications, 2021 - Elsevier
Bat algorithm is a swarm-intelligence-based metaheuristic proposed in 2010. This algorithm
was inspired by echolocation behavior of bats when searching their prey in nature. Since it …
was inspired by echolocation behavior of bats when searching their prey in nature. Since it …
Transformer in reinforcement learning for decision-making: A survey
Reinforcement learning (RL) has become a dominant decision-making paradigm and has
achieved notable success in many real-world applications. Notably, deep neural networks …
achieved notable success in many real-world applications. Notably, deep neural networks …
A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem
The water cycle algorithm (WCA) is a nature-inspired meta-heuristic recently contributed to
the community in 2012, which finds its motivation in the natural surface runoff phase in water …
the community in 2012, which finds its motivation in the natural surface runoff phase in water …
Multiregional coverage path planning for multiple energy constrained UAVs
In recent years, we have witnessed a growing use of unmanned aerial vehicles (UAVs) in a
variety of civil, commercial and military applications. Among these applications, many …
variety of civil, commercial and military applications. Among these applications, many …
Stochastic cognitive dominance leading particle swarm optimization for multimodal problems
Optimization problems become increasingly complicated in the era of big data and Internet
of Things, which significantly challenges the effectiveness and efficiency of existing …
of Things, which significantly challenges the effectiveness and efficiency of existing …
Path planning for UAV to cover multiple separated convex polygonal regions
J Xie, LRG Carrillo, L Jin - IEEE Access, 2020 - ieeexplore.ieee.org
In many unmanned aerial vehicle (UAV) applications such as land assessment, search and
rescue, and precision agriculture, UAVs are often required to survey multiple spatially …
rescue, and precision agriculture, UAVs are often required to survey multiple spatially …
Combining reinforcement learning and optimal transport for the traveling salesman problem
The traveling salesman problem is a fundamental combinatorial optimization problem with
strong exact algorithms. However, as problems scale up, these exact algorithms fail to …
strong exact algorithms. However, as problems scale up, these exact algorithms fail to …
On the routing of unmanned aerial vehicles (UAVs) in precision farming sampling missions
This chapter focuses on a very important aspect of the utilization of unmanned aerial
vehicles (simply mentioned as drones) in precision agriculture; the route planning of drones …
vehicles (simply mentioned as drones) in precision agriculture; the route planning of drones …
Bees traplining metaphors for the vehicle routing problem using a decomposition approach
In this study, the bees traplining metaphor was adopted for the Bees Algorithm (BA) and the
Combinatorial Bees Algorithm (BAC) and applied to solve the vehicle routing problem. The …
Combinatorial Bees Algorithm (BAC) and applied to solve the vehicle routing problem. The …