Evolutionary scheduling: a review.
Journal Article
Hart, E., Ross, P., & Corne, D. (2005)
Evolutionary scheduling: a review. Genetic Programming and Evolvable Machines, 6, 191-220. https://doi.org/10.1007/s10710-005-7580-7
Early and seminal work which applied evolutionary computing methods to scheduling problems from 1985 onwards laid a strong and exciting foundation for the work which has been ...
Exploiting the analogy between the immune system and sparse distributed memory.
Journal Article
Hart, E., & Ross, P. (2002)
Exploiting the analogy between the immune system and sparse distributed memory. Genetic Programming and Evolvable Machines, 4(4), 333-358. doi:10.1023/a:1026191011609
The relationship between immunological memory and a class of associative memories known as sparse distributed memories (SDM) is well known. This paper proposes a new model for...
Hyper-heuristics: learning to combine simple heuristics in bin-packing problems.
Conference Proceeding
Ross, P., Schulenburg, S., Marin-Blazquez, J. G. & Hart, E. (2002)
Hyper-heuristics: learning to combine simple heuristics in bin-packing problems. ISBN 1558608788
Evolutionary algorithms (EAs) often appear to be a ‘black box’, neither offering worst-case bounds nor any guarantee of optimality when used to solve individual problems. They...
A heuristic combination method for solving job-shop scheduling problems.
Conference Proceeding
Hart, E., & Ross, P. (1998)
A heuristic combination method for solving job-shop scheduling problems. In A. E. Eiben, T. Back, M. Schoenauer, & H. Schwefel (Eds.), Parallel Problem Solving from Nature V, 845-854. https://doi.org/10.1007/BFb0056926
This paper describes a heuristic combination based genetic algorithm, (GA), for tackling dynamic job-shop scheduling problems. Our approach is novel in that the genome encodes...