11 citations · 41 across the 13 of their papers we have counts for
3 papers · 2 filters
Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Already the Smallest Communication Radius Gives the Best-Possible Speed-Up
Benjamin Doerr, Moaad Elmoutassim, Martin S. Krejca +1
Besides domination-based algorithms such as the NSGA-II, the decomposition-based MOEA/D is one of the most popular and successful optimization heuristic for multi-objective problem…
A Dynamic Decomposition Strategy for the MOEA/D With Proven Performance Guarantees
Benjamin Doerr, Martin S. Krejca, Noé Weeks
The MOEA/D is one of the most successful multi-objective evolutionary algorithms. It operates by decomposing the optimization problem into single-objective subproblems, which are t…
First Mathematical Runtime Analyses of Multi-Objective Evolutionary Algorithms for Multi-Valued Decision Variables
Mingfeng Li, Zheng Cheng, Weijie Zheng +1
Problems defined on binary decision spaces have been intensively studied in the theory of multi-objective evolutionary algorithms (MOEAs). In contrast, no mathematical runtime anal…