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Carlo Kneissl and Dirk Sudholt - Application of Adapt-CMSA to the Two-Echelon Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries
Mehmet Anil Akbay, Can Berk Kalayci and Christian Blum - Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation
Gabriela Ochoa, Arnaud Liefooghe, Yuri Lavinas and Claus Aranha - Application of Negative Learning Ant Colony Optimization to the Far From Most String Problem
Christian Blum and Pedro Pablo Pinacho Davidson - OneMax is not the Easiest Function for Fitness Improvements
Marc Kaufmann, Maxime Larcher, Johannes Lengler and Xun Zou - A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning
Thomas Jatschka, Tobias Rodemann and Günther Raidl - Fairer comparisons for Travelling Salesman Problem solutions using Hash Functions
Mehdi El Krari, Rym Nesrine Guibadj, John Woodward and Denis Robilliard - A Policy-Based Learning Beam Search for Combinatorial Optimization
Rupert Ettrich, Marc Huber and Günther R. Raidl - Monte Carlo Tree Search with Adaptive Simulation: a Case Study on Weighted Vertex Coloring
Cyril Grelier, Olivier Goudet and Jin-Kao Hao - Cooperative Coevolutionary Genetic Programming Hyper Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing
Kirita-Rose Escott, Hui Ma and Gang Chen - Evolutionary Strategies for the Design of Binary Linear Codes
Claude Carlet, Luca Mariot, Luca Manzoni and Stjepan Picek - On the effect of solution representation and neighborhood definition in AutoML Fitness Landscapes
Matheus Cândido Teixeira and Gisele Pappa - Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes
Shoichiro Tanaka, Keiki Takadama and Hiroyuki Sato - Real-World Vehicle Routing using Adaptive Large Neighborhood Search
Vojtěch Sassmann, Hana Rudová, Michal Gabonay and Václav Sobotka - A memetic algorithm for deinterleaving pulse trains
Jean Pinsolle, Olivier Goudet, Cyrille Enderli and Jin-Kao Hao