Titlebook: Evolutionary Computation in Combinatorial Optimization; 24th European Confer Thomas Stützle,Markus Wagner Conference proceedings 2024 The E

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,Q-Learning Based Framework for Solving the Stochastic E-waste Collection Problem,e on the environment due to the shortened life cycles. E-waste encompasses discarded EEE and its components which are no longer in use. This study focuses on the e-waste collection problem and models it as a Vehicle Routing Problem with a heterogeneous fleet and a multi-period planning problem with

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,Studies on Multi-objective Role Mining in ERP Systems,Permissions, which correspond to the authorization to perform an operation on a data or business object are grouped into roles. These roles are then assigned to users. The corresponding optimization problem, the so-called Role Mining Problem (RMP), aims at finding a role concept comprising a minimal

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,Greedy Heuristic Guided by Lexicographic Excellence, optimization problems. The novelty is to guide the greedy algorithm by considering the elements of the problem by order of merit, following a social ranking method. Social rankings come from social choice theory. The method used in the present article, called lexicographic excellence, sorts individ

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,Hardest Monotone Functions for Evolutionary Algorithms,ocess, the partially-ordered evolutionary algorithm (.) model, Jansen proved a runtime bound of .. In 2019, Lengler, Martinsson and Steger improved this upper bound to . leveraging an entropy compression argument. We continue this line of research by analyzing monotone functions that may vary at eac