Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
How to solve it: modern heuristics
How to solve it: modern heuristics
Genetic Algorithms and Highly Constrained Problems: The Time-Table Case
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Genetic Repair for Optimization under Constraints Inspired by Arabidopsis Thaliana
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Explorations on template-directed genetic repair using ancient ancestors and other templates
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
| Hi-index | 0.00 |
Recent advances in genetics controversially suggest that the model plant Arabidopsis thaliana performs genetic repair using genetic information that originates in the individual's grandparent generation. We apply this ancestral genetic repair strategy within an Evolutionary Algorithm (EA) to solve a constraint based optimisation problem. Results indicate that the grandparent based genetic repair strategy out-performs the parent alternative. Within this framework, we investigate the impact of storing only the fittest ancestors for use as a repair template. The influence of performing repair in a fixed direction is compared to randomly varying the direction in which error detection proceeds. Finally we explore the impact of varying the direction of repair on the results produced. All results seem to support the non-Mendelian inheritance process suggested by Lolle et al.