Use of evolutionary methods for bioeconomic optimization models: An application to fisheries

Bioeconomic optimization models are regularly used in fisheries policy analysis. However, the use of these models has been restricted in fisheries, as in other similar fields, where there are a large number of non-linear interactions. In this paper, the basic features, advantages and disadvantages of the use of the evolutionary methods, specifically genetic algorithms, are discussed. A large non-linear model of the UK component of the English Channel fisheries is developed using genetic algorithms. The results are compared with those from a linearized version of the model solved using traditional optimization techniques. The results suggest that genetic algorithms may provide better solutions for large non-linear bioeconomic models that cannot be solved using traditional techniques without the use of simplifying assumptions.