Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.8/1332
Título: Adaptive complex system modeling for realistic modern ground warfare simulation analysis based on evolutionary multi-objective meta-heuristic techniques
Autor: Proença, Diogo Alexandre Breites de Campos
Palavras-chave: Meta-heuristic
Warfare simulator
Multi-objective optimization
Artificial intelligence
Evolutionary algorithms
Data de Defesa: 2011
Editora: Instituto Politécnico de Leiria
Resumo: The battlefield is a harsh and inhuman environment, where deaths and destruction take lead role. Through many millennia there was blood shed all over the world, people who many time died in a battle that sometimes they didn‘t even care about. Today, the battle field is very different, machines take most damage and there are less casualties, this is because of the advancements made in the fields of aeronautics, weaponry, nautical, vehicles, armor, and psychology. Also there is another important party that throughout the last decades made a special and decisive advantage to the side which is more advanced in this field, it is intelligence and simulation. Intelligence today gives enormous advantage to one country as you ―see and feel‖ the battlefield hundreds or thousands kilometers away. Then, with the data provided by intelligence, countries can simulate the battle in order to deploy the most efficient units into battle. In this thesis we propose a warfare simulator analysis tool using a multi-objective approach and artificial intelligence. Further on, the 1991 Gulf war scenario is used to simulate and the results are presented and analyzed. The approach used in this thesis is difficult to be used in games due to its processing complexity and computing demands.
Descrição: Dissertação apresentada à Escola Superior de Tecnologia e Gestão do IPL para obtenção do grau de Mestre em Engenharia Informática - Computação Móvel, orientada pelo Professor Silvio Priem Mendes.
URI: http://hdl.handle.net/10400.8/1332
Aparece nas colecções:Mestrado em Engenharia Informática - Computação Móvel

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