Fishing Strategies as Non-convex Optimal Control Problems
- 17:00 - 18:00
- Prof. Dr. Malte Braack
- Christian-Albrechts-Universität zu Kiel
- TUD Dresdner Mathematisches Seminar
- Andere Themen
- Prof. Dr. Gunar Matthies (Institut für Numerische Mathematik)
- Marine fisheries are very important to the economy and livelihood of coastal
communities, providing food security and job opportunities. The preservation of
long-term prosperity and sustainability of marine fisheries is of political and social
significance as well as economical and ecological importance. Due to new technologies
allowing to catch more fish, various fish stocks like tuna, swordfish, shark, cod,
halibut, etc. have declined by up to 90% in the last decades. Therefore, some states
introduced policy instruments including landing fees, total allowable catches (TAC's)
and marine protect areas (MPA's). In this context, important
social and economical questions arise about the optimal amount of
TAC's as well as the design of those MPA's: What is the optimal size and location of
MPA's with regard to suficient recovery of the fish stock as well as suficient
amount of fisheries yield.
To address to these questions mathematically, the fishing strategy
can be formulated as an optimal control problem. The fish stock dynamics are modeled by a
time-dependent, non-linear PDE including reproduction and growth rate. The space-time
distributed control describes the fishing intensity and is assumed to be bilinear
with the biomass. The cost functional takes into account the benefit of the harvest,
fishing costs and the fish stock density at final time which guarantees sustainability.
It turns out that the optimization problem complemented with additional control constraints
results in a non-standard and non-linear optimal control problem.
This talk is dedicated to the analysis of this problem in terms of solvability and
optimality conditions. We also show first numerical examples.
Letztmalig verändert: 18.10.2019, 14:30:13
TUD Willers-Bau (WIL B 321)Zellescher Weg12-1401069Dresden
TUD MathematikWillersbau, Zellescher Weg12-1401069Dresden
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