Andi Tang
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View article: Autonomous Air Combat Maneuvering Decision Method of UCAV Based on LSHADE-TSO-MPC under Enemy Trajectory Prediction
Autonomous Air Combat Maneuvering Decision Method of UCAV Based on LSHADE-TSO-MPC under Enemy Trajectory Prediction Open
In this paper, an autonomous UCAV air combat maneuvering decision method based on LSHADE-TSO optimization in a model predictive control framework is proposed, along with enemy trajectory prediction. First, a sliding window recursive predic…
View article: A Chaos Sparrow Search Algorithm with Logarithmic Spiral and Adaptive Step for Engineering Problems
A Chaos Sparrow Search Algorithm with Logarithmic Spiral and Adaptive Step for Engineering Problems Open
The sparrow search algorithm (SSA) is a newly proposed meta-heuristic optimization algorithm based on the sparrow foraging principle. Similar to other meta-heuristic algorithms, SSA has problems such as slow convergence speed and difficult…
View article: A Chaos Sparrow Search Algorithm with Logarithmic Spiral and Adaptive Step for Engineering Problems
A Chaos Sparrow Search Algorithm with Logarithmic Spiral and Adaptive Step for Engineering Problems Open
The sparrow search algorithm (SSA) is a newly proposed meta-heuristic optimization algorithm based on the sparrow foraging principle. Similar to other meta-heuristic algorithms, SSA has problems such as slow convergence speed and difficult…
View article: An Improved Equilibrium Optimizer with Application in Unmanned Aerial Vehicle Path Planning
An Improved Equilibrium Optimizer with Application in Unmanned Aerial Vehicle Path Planning Open
The unmanned aerial vehicle (UAV) path planning problem is a type of complex multi-constraint optimization problem that requires a reasonable mathematical model and an efficient path planning algorithm. In this paper, the fitness function …
View article: A Modified Manta Ray Foraging Optimization for Global Optimization Problems
A Modified Manta Ray Foraging Optimization for Global Optimization Problems Open
The Manta ray foraging optimization (MRFO) is a novel swarm-based metaheuristic optimizer. It is mainly modeled by simulating three foraging behaviors of the Manta rays, which has a good performance. However, several drawbacks of MRFO have…
View article: A Hybrid Butterfly Optimization Algorithm for Numerical Optimization Problems
A Hybrid Butterfly Optimization Algorithm for Numerical Optimization Problems Open
The butterfly optimization algorithm (BOA) is a swarm‐based metaheuristic algorithm inspired by the foraging behaviour and information sharing of butterflies. BOA has been applied to various fields of optimization problems due to its perfo…
View article: Long and Short Term Maneuver Trajectory Prediction of UCAV Based on Deep Learning
Long and Short Term Maneuver Trajectory Prediction of UCAV Based on Deep Learning Open
Autonomous air combat technology of unmanned combat air vehicles (UCAVs) is a hot issue that is currently being studied by various countries, and maneuvering trajectory prediction is an important part of autonomous air combat research. To …
View article: Tuna Swarm Optimization: A Novel Swarm‐Based Metaheuristic Algorithm for Global Optimization
Tuna Swarm Optimization: A Novel Swarm‐Based Metaheuristic Algorithm for Global Optimization Open
In this paper, a novel swarm‐based metaheuristic algorithm is proposed, which is called tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative foraging behavior of tuna swarm. The work mimics two foraging b…
View article: A Modified Slime Mould Algorithm for Global Optimization
A Modified Slime Mould Algorithm for Global Optimization Open
Slime mould algorithm (SMA) is a population‐based metaheuristic algorithm inspired by the phenomenon of slime mould oscillation. The SMA is competitive compared to other algorithms but still suffers from the disadvantages of unbalanced exp…