مشروع البحث: LARGE-SCALE OPTIMIZATION: COMBINING CO-OPERATIVE COEVOLUTION AND FITNESS INHERITANCE
تحميل...
المساهمين
الممولين
رقم التعريف
6
الباحث
ابوبكر حامد علي حامد
الوصف
The second is fitness inheritance (FI), which is essentially a very simple surrogate
model strategy, in which, with some probability, the fitness of a solution is simply
guessed to be a simple function of the finesses of that solution’s parents. Both CC
and FI have been found successful on nontrivial and multiple test cases, and they
use fundamentally distinct strategies.
In this thesis, we explored the extent to which both of these strategies can be used
to provide additional benefits. In addition to combining CC and FI, this thesis also
introduces a new FI scheme which further improves the performance of CC-FI. We
show that the new algorithm CC-FI is highly effective for solving problems, especially when the new FI scheme is used.
In the thesis, we also explored two basic adaptive parameter setting strategies for
the FI component. We found that engineering FI (and CC, where it was otherwise
not present) into these algorithms led to good performance and results
الكلمات الدالة
LARGE-SCALE OPTIMIZATION: COMBINING CO-OPERATIVE COEVOLUTION AND FITNESS INHERITANCE