Cooperative Interception Law for Antiaircraft Guided Projectiles based on Target Assignment and Velocity Constraint

2020 ◽  
Author(s):  
Jinkui Wang ◽  
Wenzhong Lou ◽  
Tongan Ji ◽  
Shenghua Fu ◽  
Weitong Liu ◽  
...  
Keyword(s):  
Target Assignment ◽  
Velocity Constraint

A multi-objective sparse evolutionary framework for large-scale weapon target assignment based on a reward strategy

2021 ◽  
Vol 40 (5) ◽  
pp. 10043-10061
Author(s):  
Xiaoping Shi ◽  
Shiqi Zou ◽  
Shenmin Song ◽  
Rui Guo
Keyword(s):  
Large Scale ◽  
The Novel ◽  
Genetic Operators ◽  
Multi Objective ◽  
Target Assignment ◽  
Solution Selection ◽  
Battlefield Environment ◽  
Sparse Problems ◽  
Novel Model ◽  
Error Parameter

 The asset-based weapon target assignment (ABWTA) problem is one of the important branches of the weapon target assignment (WTA) problem. Due to the current large-scale battlefield environment, the ABWTA problem is a multi-objective optimization problem (MOP) with strong constraints, large-scale and sparse properties. The novel model of the ABWTA problem with the operation error parameter is established. An evolutionary algorithm for large-scale sparse problems (SparseEA) is introduced as the main framework for solving large-scale sparse ABWTA problem. The proposed framework (SparseEA-ABWTA) mainly addresses the issue that problem-specific initialization method and genetic operators with a reward strategy can generate solutions efficiently considering the sparsity of variables and an improved non-dominated solution selection method is presented to handle the constraints. Under the premise of constructing large-scale cases by the specific case generator, two numerical experiments on four outstanding multi-objective evolutionary algorithms (MOEAs) show Runtime of SparseEA-ABWTA is faster nearly 50% than others under the same convergence and the gap between MOEAs improved by the mechanism of SparseEA-ABWTA and SparseEA-ABWTA is reduced to nearly 20% in the convergence and distribution.

scholarly journals THPP target assignment reveals EchA6 as an essential fatty acid shuttle in mycobacteria

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Jonathan A. G. Cox ◽  
Katherine A. Abrahams ◽  
Carlos Alemparte ◽  
Sonja Ghidelli-Disse ◽  
Joaquín Rullas ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Essential Fatty Acid ◽  
Target Assignment

scholarly journals A New Approach to Weapon-Target Assignment in Cooperative Air Combat

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Yi-zhe Chang ◽  
Zhan-wu Li ◽  
Ying-xin Kou ◽  
Qing-peng Sun ◽  
Hai-yan Yang ◽  
...  
Keyword(s):  
Hybrid Algorithm ◽  
Harmony Search ◽  
New Approach ◽  
Artificial Fish Swarm Algorithm ◽  
Target Assignment ◽  
Air Combat ◽  
Improved Harmony Search ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm

A new approach to solving weapon-target assignment (WTA) problem is proposed in this paper. Firstly, relative superiority that lays the foundation for assignment is calculated based on the combat power energy of the fighters. Based on the relative superiority, WTA problem is formulated. Afterwards, a hybrid algorithm consisting of improved artificial fish swarm algorithm (AFSA) and improved harmony search (HS) is introduced and furthermore applied to solve the assignment formulation. Finally, the proposed approach is validated by eight representative benchmark functions and two concrete cooperative air combat examples. The results show that the approach proposed in this paper achieves good performances in solving WTA problem in cooperative air combat.

Optimal sliding-mode guidance with terminal velocity constraint for fixed-interval propulsive maneuvers

2008 ◽  
Vol 62 (10-11) ◽  
pp. 556-562 ◽  
Author(s):  
Behrouz Ebrahimi ◽  
Mohsen Bahrami ◽  
Jafar Roshanian
Keyword(s):  
Sliding Mode ◽  
Terminal Velocity ◽  
Fixed Interval ◽  
Velocity Constraint
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