@inbook{bibcite_8940,
  author = {Ang Yang and Hussein Abbass and Ruhul Sarker},
  title = {Land Combat Scenario Planning: A Multiobjective Approach},
  abstract = {<p>The simulation of land combat operations is a complex task. The space of possibilities is exponential and the performance criteria are usually in conflict; thus finding a sweet spot in this complex search space is a hard task. This paper focuses on the effect of population size and mutation rate on the performance of NSGA{\textendash}II, as the evolutionary multiobjective optimization technique, to decide on the composition of forces using a complex land combat multi-agent scenario planning tool.</p><p>\&nbsp;</p>},
  year = {2006},
  journal = {Simulated Evolution and Learning},
  publisher = {Springer Berlin Heidelberg},
  language = {eng},
}