Pietro S. Oliveto

Venues

Frequent coauthors

Papers

1. On the Runtime Analysis of Reinforcement Learning Hyper-Heuristics
   PPSN 2026 · Pietro S. Oliveto
2. (1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error
   AAAI 2025 ·

   Benjamin Doerr

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3. Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition
   AAAI 2025 ·

   Dogan Corus

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4. Hybrid Selection Allows Steady-State Evolutionary Algorithms to Control the Selective Pressure in Multimodal Optimisation
   GECCO 2025 ·

   Dogan Corus

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5. On the Generalisation Performance of Geometric Semantic Genetic Programming for Boolean Functions: Learning Block Mutations
   GECCO 2025 ·

   Dogan Çörüs

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6. Random Gradient Hyper-heuristics Can Learn to Escape Local Optima in Multimodal Optimisation
   GECCO 2025 ·

   Yuxuan Ma

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