A hybrid multi-objective bi-level interactive fuzzy programming method for solving ECM-DWTA problem

Electronic countermeasure (ECM) has become one of the most significant factors in modern warfare, in the course of combat, the electronic jamming allocation tasks need to be flexibly adjusted with the change of combat stage, which puts forward higher requirements for the modeling and solution method...

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Bibliographic Details
Published in:Complex & intelligent systems Vol. 8; no. 6; pp. 4811 - 4829
Main Authors: Zhao, Luda, An, Zongxu, Wang, Bin, Zhang, Yanqiu, Hu, Yihua
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.12.2022
Springer Nature B.V
Subjects:
Algorithms
Complexity
Computational Intelligence
Data Structures and Information Theory
Electronic countermeasures
Engineering
Jamming
Mathematical models
Multiple criterion
Multiple objective analysis
Optimization
Original Article
Parameters
Pareto optimization
Performance indices
Programming
Warfare
Weapons
MOEA/D-TOPSIS
Bi-level programming
Hybrid multi-objective fuzzy programming
Dynamic weapon target assignment problem
ISSN:2199-4536, 2198-6053
Online Access:Get full text
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Summary:Electronic countermeasure (ECM) has become one of the most significant factors in modern warfare, in the course of combat, the electronic jamming allocation tasks need to be flexibly adjusted with the change of combat stage, which puts forward higher requirements for the modeling and solution method of this kind of problems. To solve the ECM dynamic weapon target assignment (ECM-DWTA) problem, a hybrid multi-target bi-level programming model is established. The upper level takes the sum of the electronic jamming effects in the whole combat stage as an optimization objective, and locally optimizes the ECM weapon (ECM-WP) assignment scheme in each stage. The lower level takes the importance expectation value of the target subjected to interference and combat consumption as double optimization objectives to globally optimize the ECM-WP assignment scheme. Focus on solving this complex model, a hybrid multi-objective bi-level interactive fuzzy programming algorithm (HMOBIF) is proposed, in this method, exponential membership function is used to describe the satisfaction degree of each level. When solving the multi-objective optimization problem composed of membership functions in the upper and lower levels, we use the MOEA/D algorithm to obtain the Pareto Front (PF) solution set, and then each solution in PF is evaluated and selected by the TOPSIS multi-criteria evaluation method. This local and global interactive optimization process of bi-level model is actually the process of executing observation-orientation-decision-action loop in practical combat. According to the current example, we conduct numerical simulation on the parameters in the model and obtain the parameter values suitable for the model solution. The computational experiments on different scale ECM-DWTA problems show that HMOBIF method is superior to four bi-level programming algorithms in terms of performance index, and can better solve ECM-DWTA problems.
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ISSN:2199-4536
2198-6053
DOI:10.1007/s40747-022-00730-9