Swarm intelligence
Particle swarm optimization method in multiobjective problems
Proceedings of the 2002 ACM symposium on Applied computing
Mission planning for joint suppression of enemy air defenses using a genetic algorithm
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Simulation in context: using data farming for decision support
WSC '04 Proceedings of the 36th conference on Winter simulation
Modeling force response to small boat attack against high value commercial ships
WSC '05 Proceedings of the 37th conference on Winter simulation
Data farming: discovering surprise
WSC '05 Proceedings of the 37th conference on Winter simulation
Using agent models and data farming to explore network centric operations
WSC '05 Proceedings of the 37th conference on Winter simulation
Proceedings of the 38th conference on Winter simulation
MOPSO: a proposal for multiple objective particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Automated red teaming: a proposed framework for military application
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Defense and homeland security applications of multi-agent simulations
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Applications of multi-objective evolutionary algorithms to air operations mission planning
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Evolutionary path planner for UAVs in realistic environments
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Evolutionary design of experiments using the MapReduce framework
Proceedings of the 2011 Summer Computer Simulation Conference
Evolvable simulations applied to automated red teaming: a preliminary study
Proceedings of the Winter Simulation Conference
Analysis of key installation protection using computerized red teaming
ACSC '11 Proceedings of the Thirty-Fourth Australasian Computer Science Conference - Volume 113
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Automated Red Teaming (ART), an automated process for Manual Red Teaming, is a technique frequently utilised by the Military Operational Analysis (OA) community to uncover vulnerabilities in operational tactics. Currently, individual ART studies are limited to the parameter tuning of a simulation model with a fixed structure. The effects in the evolutions of structural features of a simulation model have not been investigated in any of the studies. This paper investigates the benefits of Evolvable Simulation, which involves evolution of the structure of a simulation model. The case study used for this purpose is a maritime based scenario which involves the defense of an anchorage. Simulation results obtained through Evolvable Simulation revealed that the quality of the solutions found given an appropriate amount of evaluations will improve when the simulation model is evolved. Additionally, experimental results also showed that it is likely to have negligible improvement in solutions for models with smaller search space when the amount of evaluations is more than required. The insights obtained in this work shows that evolvable simulation is an effective methodology which allows decision makers to enhance their understanding on military operational tactics.