Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms

Details Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms

2004-05-18

arxiv.org/abs/cs/0405062v1

Computer Science

Neural and Evolutionary Computing

Optimization by Building and Using Probabilistic Models. Workshop at the 2004 Genetic and Evolutionary Computation Conference

Scientific paper

This paper presents two different efficiency-enhancement techniques for probabilistic model building genetic algorithms. The first technique proposes the use of a mutation operator which performs local search in the sub-solution neighborhood identified through the probabilistic model. The second technique proposes building and using an internal probabilistic model of the fitness along with the probabilistic model of variable interactions. The fitness values of some offspring are estimated using the probabilistic model, thereby avoiding computationally expensive function evaluations. The scalability of the aforementioned techniques are analyzed using facetwise models for convergence time and population sizing. The speed-up obtained by each of the methods is predicted and verified with empirical results. The results show that for additively separable problems the competent mutation operator requires O(k 0.5 logm)--where k is the building-block size, and m is the number of building blocks--less function evaluations than its selectorecombinative counterpart. The results also show that the use of an internal probabilistic fitness model reduces the required number of function evaluations to as low as 1-10% and yields a speed-up of 2--50.

Affiliated with

Also associated with

No associations

Rating

Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-366032