Genetic Algorithms and grouping problems
β Scribed by Mark Nicholson
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 18 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0038-0644
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Consistent labelling problems frequently have more than one solution. Most work in the "eld has aimed at disambiguating early in the interpretation process, using only local evidence. This paper starts with a review of the literature on labelling problems and ambiguity. Based on this review, we prop
In this paper we study the performance of two stochastic search methods: Genetic Algorithms and Simulated Annealing, applied to the optimization of pin-jointed steel bar structures. We show that it is possible to embed these two schemes into a single parametric family of algorithms, and that optimal
Hybrid Genetic Algorithms are described for a large-size real-life rostering problem (railway workers' job scheduling and roster optimization). The new algorithm uses an order-based representation which encodes as a chromosome the list of job units to schedule. First, a greedy algorithm is considere