CAPSO: A Parallelized Multiobjective Cultural Algorithm Particle Swarm Optimizer

The Use of Cultural Algorithms to Learn the Impact of Climate on Local Fishing Behavior in Cerro Azul, Peru

“…The Chapter concluded with a description of a variation of the Cultural Algorithm that used a PSO based population for the specific solution of multiobjective optimization problems such as the one described here, CAPSO. With Stanley's design of CAPSO, the implementation was carried out as part of collaborative work by [35]. This configuration will be used to statistically test the differences in the spread of different tours between the three ENSO phases in Chapter 7.…”

“…In this thesis we will employ a version of Cultural Algorithms to solve a real-world multi-objective problem, the artisanal fishing problem. While only a brief overview is presented here the approach is described in more detail in [35].…”

“…There we will investigate whether the generated distribution of points for each of the scenarios can be viewed as an example of the same generation process, or whether the addition of tour constraints to the generation produced any significant differences in the results. In order to do this we will call upon the Cultural Algorithm Configuration described in Chapter 4 since that process is computationally expensive in nature [35].…”

“…We have developed curve fitting for the Artisanal Fishing problem using the Cultural Algorithm with Particle Swarm Optimization, CAPSO [35]. The fishing problem has two competing objective functions; the Payout ($) produced by a trip and the Effort required (Gallon /Kg of fish).…”

“…This goal reflected the need to buffer the risk associated with the changing environment and its impact on the local economy. As stated by [35] , "the goal is to just be able to keep fishing".…”