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Direction matters in high-dimensional optimisation
2008
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
Directional biases are evident in many benchmarking problems for real-valued global optimisation, as well as many of the evolutionary and allied algorithms that have been proposed for solving them. It has been shown that directional biases make some kinds of problems easier to solve for similarly biased algorithms, which can give a misleading view of algorithm performance. In this paper we study the effects of directional bias for highdimensional optimisation problems. We show that the impact
doi:10.1109/cec.2008.4631115
dblp:conf/cec/MacNishY08
fatcat:5hc4att52bgbxdqobcwdzaqepu