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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Andre Opris

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Book Open access Jul 2026

Hot of the Press: Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm

This work significantly enhance the understanding of the dynamics of the GSEMO, in particular, for the classic CountingOnesCountingZeros benchmark, and proves a lower bound of order Ω(n2 log n), for the first time matching the seminal upper bounds known for over twenty years.

Benjamin Doerr, Martin S. Krejca, Andre Opris · 0 citations
Book Open access Jul 2026

Hot of the Press: A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update

A rigorous runtime analysis of NSGA-III on the many-objective OneJumpZeroJump benchmark, providing runtime bounds where the number of objectives is constant and a stochastic population update provably guarantees a speedup of order Θ((k/b)k-1) in the runtime where b > 0 is a constant.

Andre Opris · 11 citations
Jul 2026

Provable Speedups From Dynamic Population Sizes in Evolutionary Algorithms for Multiobjective Optimization

This paper introduces the bi-objective problem class CLIMB and analyzes the runtime of GSEMO and the widely used NSGA-II on this problem, and proves that GSEMO and NSGA-II-DYN, a version of NSGA-II with dynamic population sizes, can find the Pareto front of CLIMB in expected fitness evaluations.

Andre Opris · 0 citations

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