2 research outputs found
Evolving Pacing Strategies for Team Pursuit Track Cycling
Team pursuit track cycling is a bicycle racing sport held on velodromes and
is part of the Summer Olympics. It involves the use of strategies to minimize
the overall time that a team of cyclists needs to complete a race. We present
an optimisation framework for team pursuit track cycling and show how to evolve
strategies using metaheuristics for this interesting real-world problem. Our
experimental results show that these heuristics lead to significantly better
strategies than state-of-art strategies that are currently used by teams of
cyclists
A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines
The placement of wind turbines on a given area of land such that the wind
farm produces a maximum amount of energy is a challenging optimization problem.
In this article, we tackle this problem, taking into account wake effects that
are produced by the different turbines on the wind farm. We significantly
improve upon existing results for the minimization of wake effects by
developing a new problem-specific local search algorithm. One key step in the
speed-up of our algorithm is the reduction in computation time needed to assess
a given wind farm layout compared to previous approaches. Our new method allows
the optimization of large real-world scenarios within a single night on a
standard computer, whereas weeks on specialized computing servers were required
for previous approaches.Comment: 16 pages, 2 algorithms, 4 figures, 1 tabl