More effective randomized search heuristics for graph coloring through dynamic optimization
Author:
Affiliation:
1. The University of Adelaide, Adelaide, Australia
2. University of Sheffield, Sheffield, United Kingdom
Funder
ustralian Research Council (ARC)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3377930.3390174
Reference24 articles.
1. Anne Auger and Benjamin Doerr (Eds.). 2011. Theory of Randomized Search Heuristics: Foundations and Recent Developments. World Scientific Publishing Co. Inc. Anne Auger and Benjamin Doerr (Eds.). 2011. Theory of Randomized Search Heuristics: Foundations and Recent Developments. World Scientific Publishing Co. Inc.
2. Runtime analysis of randomized search heuristics for dynamic graph coloring
3. Time complexity analysis of RLS and (1 + 1) EA for the edge coloring problem
4. Benjamin Doerr and Frank Neumann (Eds.). 2020. Theory of Evolutionary Computation - Recent Developments in Discrete Optimization. Springer. 10.1007/978-3-030-29414-4 Benjamin Doerr and Frank Neumann (Eds.). 2020. Theory of Evolutionary Computation - Recent Developments in Discrete Optimization. Springer. 10.1007/978-3-030-29414-4
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