Lehre, Per Kristian

1. Faster Black-Box Algorithms Through Higher Arity Operators
   2010/12/04 by Benjamin Doerr, Daniel Johannsen, Doerr, Benjamin +9 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #cs.NE
2. General Drift Analysis with Tail Bounds
   2013/07/09 by Lehre, Per Kristian, Witt, Carsten · 1 citation
   #68W20 #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
3. Populations can be essential in tracking dynamic optima
   2016/07/12 by Duc-Cuong Dang, Dang, Duc-Cuong, Thomas Jansen +3 · 1 citation
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Populations and Evolution (q-bio.PE)
4. Self-adaptation of Mutation Rates in Non-elitist Populations
   2016/06/17 by Dang, Duc-Cuong, Lehre, Per Kristian · 1 citation
   #FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Populations and Evolution (q-bio.PE)
5. Level-Based Analysis of the Univariate Marginal Distribution Algorithm
   2018/07/26 by Duc-Cuong Dang, Dang, Duc-Cuong, Per Kristian Lehre +3 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Machine Learning and Data Classification
6. Runtime Analysis of Competitive co-Evolutionary Algorithms for Maximin Optimisation of a Bilinear Function
   2022/06/30 by Per Kristian Lehre, Lehre, Per Kristian · 1 citation
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Populations and Evolution (q-bio.PE)