Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Artificial War: Multiagent-Based Simulation of Combat
Artificial War: Multiagent-Based Simulation of Combat
Military applications of agent-based simulations
WSC '04 Proceedings of the 36th conference on Winter simulation
Investigating the dynamics of competition: coevolving red and blue simulation parameters
WSC '05 Proceedings of the 37th conference on Winter simulation
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence (IEEE Press Series on Computational Intelligence)
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
The ruby programming language
Automated red teaming: an objective-based data farming approach for red teaming
Proceedings of the 40th Conference on Winter Simulation
Future Generation Computer Systems
A co-evolutionary approach for military operational analysis
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Enhancing automated red teaming with evolvable simulation
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
PISA: a platform and programming language independent interface for search algorithms
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Application of multi-objective bee colony optimization algorithm to automated red teaming
Winter Simulation Conference
Landscape dynamics in multi–agent simulation combat systems
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Computational military tactical planning system
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Characterizing warfare in red teaming
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolutionary design of agent-based simulation experiments
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Evolutionary design of experiments using the MapReduce framework
Proceedings of the 2011 Summer Computer Simulation Conference
Effective crowd control through adaptive evolution of agent-based simulation models
Proceedings of the Winter Simulation Conference
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We report preliminary studies on evolvable simulations applied to Automated Red Teaming (ART). ART is a vulnerability assessment tool in which agent-based models of simplified military scenarios are repeatedly and automatically generated, executed and varied. Nature-inspired heuristic techniques are utilized to drive the exploration of simulation models to exhibit desired system behaviors. To date, ART investigations have essentially addressed the evolution of a limited fixed set of parameters determining the agents' behavior. We propose to extend ART to widen the range of evolvable simulation model parameters. Using this "evolvable simulation" approach, we conduct experiments in which the agents' structure is evolved. Specifically, a maritime scenario is examined where the individual trajectories of belligerent vessels are evolved to break Blue. These experiments are conducted using a modular evolutionary framework coined CASE. The results present counter-intuitive outcomes and suggest that evolvable simulation is a promising technique to enhance ART.