Artificial War: Multiagent-Based Simulation of Combat
Artificial War: Multiagent-Based Simulation of Combat
Land combat scenario planning: a multiobjective approach
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Characterizing warfare in red teaming
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Application notes: MEBRA: multiobjective evolutionary-based risk assessment
IEEE Computational Intelligence Magazine
The causes for no causation: A computational perspective
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
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Scenarios are pen-pictures of plausible futures, used for strategic planning. The aim of this investigation is to expand the horizon of scenario-based planning through computational models that are able to aid the analyst in the planning process. The investigation builds upon the advances of Information and Communication Technology (ICT) to create a novel, flexible and customizable computational capability-based planning methodology that is practical and theoretically sound. We will show how evolutionary computation, in particular evolutionary multi-objective optimization, can play a central role - both as an optimizer and as a source for innovation.