Output details
11 - Computer Science and Informatics
University of Exeter
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Output 0 of 0 in the submission
Output title
Runtime analysis of convex evolutionary search
Type
E - Conference contribution
Name of conference/published proceedings
GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation
Volume number
-
Issue number
-
First page of article
649
ISSN of proceedings
-
Year of publication
2012
URL
-
Number of additional authors
1
Additional information
<12> Best paper award at a main international conference on Evolutionary Computation (GECCO) and invited for publication in a top journal. This is the first time a time-complexity analysis is accomplished in general settings across representations. Also it offers a simple way of analysing crossover, a major theoretical challenge. An anonymous reviewer said: "I cannot point out enough how significant this contribution is. I see this work becoming a standard reference in any future work on crossover." Another said: "Some results are truly beautiful and surprising. It clearly is one of the most interesting and strongest GA papers I read".
Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Artificial Intelligence
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
