A report on various optimization methods for the design of IPM solutions

The objectives of the research which led to the results presented here were fivefold. They were chosen in order to address a wide range of issues related to IPM in terms of complexity.

1) To develop mathematical tools to help optimise tactical decision in biocontrol in Controlled Environment Agriculture

2) To develop optimisation algorithms to help decision making with regards to the combination of chemical and biological control of pests in Controlled Environment Agriculture

3) To model herbivore mutualism in order to help optimise management strategies

4) To develop an aggregative optimisation procedure to help design sustainable cropping systems that achieve multiple performances (economic, social and environmental performances)

5) To help decision making at the field level as a function of a collective reward at the landscape level in order to preserve the efficacy of genetic resistances.

The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/ 2007-2013) under the grant agreement n°265865- PURE