Anglers' fishing problem
Anna Karpowicz, Krzysztof Szajowski

TL;DR
This paper models the angler's fishing problem as a marked renewal-reward process, aiming to find two optimal stopping times to maximize satisfaction within a fixed fishing period using dynamic programming.
Contribution
It introduces a novel application of renewal processes and dynamic programming to determine optimal fishing strategies with two stopping times.
Findings
Derived explicit formulas for optimal stopping times.
Quantified maximum expected satisfaction for the angler.
Demonstrated the effectiveness of the model through theoretical analysis.
Abstract
The considered model will be formulated as related to "the fishing problem" even if the other applications of it are much more obvious. The angler goes fishing. He uses various techniques and he has at most two fishing rods. He buys a fishing ticket for a fixed time. The fishes are caught with the use of different methods according to the renewal processes. The fishes' value and the inter arrival times are given by the sequences of independent, identically distributed (i.i.d.) random variables with the known distribution functions. It forms the marked renewal--reward process. The angler's measure of satisfaction is given by the difference between the utility function, depending on the value of the fishes caught, and the cost function connected with the time of fishing. In this way, the angler's relative opinion about the methods of fishing is modelled. The angler's aim is to have as…
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Taxonomy
TopicsEcology and biodiversity studies
