A PSO-based Decision Aid for Multi-Aircraft Combat Situations
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Summary
A PSO-based approach incorporating four fuzzy measures of the predominance values for solving the aircraft assignment problem is developed to help a military planner reduce the required planning time and provide a better strategy.
- Type
- article
- Published
- 2008-09-01
- Cited by
- 4
- References
- 19
- OpenAlex
- https://openalex.org/W26219272
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:116608178
Keywords
Planner, Computational intelligence, Computer science, Adversary, Operations research
References
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- A Suite of Weapon Assignment Algorithms for a SDI Mid-Course Battle Manager
- Watch thy neighbor or how the swarm can learn from its environment
- Genetic algorithms and engineering optimization
- Resource allocation problems - algorithmic approaches
- A new optimizer using particle swarm theory
- Decision of Cooperative Airfight and its Realization by Neural Network
- Particle swarm optimization
- A Bee Colony Optimization Algorithm to Job Shop Scheduling
- Neighborhood topologies in fully informed and best-of-neighborhood particle swarms
- Genetic Algorithms in Search
- Efficiently solving general weapon-target assignment problem by genetic algorithms with greedy eugenics
- Genetic algorithms
- A genetic algorithm with domain knowledge for weapon‐target assignment problems
- Co-ordinated Target Assignment for Multi-Aircraft
- Genetic Algorithms in Search Optimization and Machine Learning
Cited by
- A new approach to multi-aircraft air combat assignments
- Employment of an evolutionary heuristic to solve the target allocation problem efficiently
- OPTIMIZATION ALGORITHMS FOR RESOURCE ALLOCATION PROBLEM OF AIR TASKING ORDER PREPARATION
- Unmanned ground weapon target assignment based on deep Q-learning network with an improved multi-objective artificial bee colony algorithm
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