Efficient Decision Makings for Dynamic Weapon-Target Assignment by Virtual Permutation and Tabu Search Heuristics
The dynamic weapon-target assignment (DWTA) problem is a typical constrained combinatorial optimization problem with the objective of maximizing the total value of surviving assets threatened by hostile targets through all defense stages. A generic asset-based DWTA model is established, especially f...
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| Published in: | IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews Vol. 40; no. 6; pp. 649 - 662 |
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| Language: | English |
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01.11.2010
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| ISSN: | 1094-6977, 1558-2442 |
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| Abstract | The dynamic weapon-target assignment (DWTA) problem is a typical constrained combinatorial optimization problem with the objective of maximizing the total value of surviving assets threatened by hostile targets through all defense stages. A generic asset-based DWTA model is established, especially for the warfare scenario of force coordination, to formulate this problem. Four categories of constraints, involving capability constraints, strategy constraints, resource constraints (i.e., ammunition constraints), and engagement feasibility constraints, are taken into account in the DWTA model. The concept of virtual permutation (VP) is proposed to facilitate the generation of feasible decisions. A construction procedure (CP) converts VPs into feasible DWTA decisions. With constraint satisfaction guaranteed by the synergy of VPs and the CP, an elaborate local search (LS) operator, namely move-to-head operator, is constructed to avoid repeatedly generating the same decisions. The operator is integrated into two tabu search (TS) algorithms to solve DWTA problems. Comparative experiments involving a random sampling method, an LS method, a hybrid genetic algorithm, a hybrid ant-colony optimization algorithm, and our TS algorithms show that the proposed TS heuristics for DWTA outperform their competitors in most test cases and they are competent for high-quality real-time DWTA decision makings. |
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| AbstractList | The dynamic weapon-target assignment (DWTA) problem is a typical constrained combinatorial optimization problem with the objective of maximizing the total value of surviving assets threatened by hostile targets through all defense stages. A generic asset-based DWTA model is established, especially for the warfare scenario of force coordination, to formulate this problem. Four categories of constraints, involving capability constraints, strategy constraints, resource constraints (i.e., ammunition constraints), and engagement feasibility constraints, are taken into account in the DWTA model. The concept of virtual permutation (VP) is proposed to facilitate the generation of feasible decisions. A construction procedure (CP) converts VPs into feasible DWTA decisions. With constraint satisfaction guaranteed by the synergy of VPs and the CP, an elaborate local search (LS) operator, namely move-to-head operator, is constructed to avoid repeatedly generating the same decisions. The operator is integrated into two tabu search (TS) algorithms to solve DWTA problems. Comparative experiments involving a random sampling method, an LS method, a hybrid genetic algorithm, a hybrid ant-colony optimization algorithm, and our TS algorithms show that the proposed TS heuristics for DWTA outperform their competitors in most test cases and they are competent for high-quality real-time DWTA decision makings. |
| Author | Lihua Dou Jie Chen Bin Xin Juan Zhang Zhihong Peng |
| Author_xml | – sequence: 1 givenname: Bin surname: Xin fullname: Xin, Bin – sequence: 2 givenname: Jie surname: Chen fullname: Chen, Jie – sequence: 3 givenname: Juan surname: Zhang fullname: Zhang, Juan – sequence: 4 givenname: Lihua surname: Dou fullname: Dou, Lihua – sequence: 5 givenname: Zhihong surname: Peng fullname: Peng, Zhihong |
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| Keywords | tabu search (TS) Random sampling Constraint satisfaction Combinatorial optimization Modeling Military application Tabu search Swarm intelligence Metamodel virtual permutation (VP) Constraint handling Local search Script Coordination Decision support system Permutation Decision making metaheuristics Real time Particle swarm optimization Search algorithm Constrained optimization Genetic algorithm Resource constraint Heuristic method Dynamic weapon-target assignment (DWTA) Sampling methods Feasibility military decision making Ordnance |
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| SubjectTerms | Algorithms Applied sciences Automation Combinatorial analysis Combinatorial optimization Command and control systems constraint handling Constraint optimization Construction Decision making Decision theory. Utility theory Discrete wavelet transforms Dynamic weapon-target assignment (DWTA) Dynamics Exact sciences and technology Flows in networks. Combinatorial problems Genetic algorithms Heuristic Mathematical programming Mathematics metaheuristics military decision making Operational research and scientific management Operational research. Management science Operators Optimization methods Permutations Probability and statistics Sampling methods Sampling theory, sample surveys Sciences and techniques of general use Statistics Tabu search tabu search (TS) Vehicle dynamics virtual permutation (VP) Weapons |
| Title | Efficient Decision Makings for Dynamic Weapon-Target Assignment by Virtual Permutation and Tabu Search Heuristics |
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