RCMAES: A Robust CMA-ES Variant for CEC2026 Competition

Khoirul Faiq Muzakka; Sören Möller; Martin Finsterbusch

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arXiv · 2604.27138

RCMAES: A Robust CMA-ES Variant for CEC2026 Competition

Khoirul Faiq Muzakka·Sören Möller·Martin Finsterbusch

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Abstract

This paper proposes RCMAES, a novel variant of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for CEC benchmark optimization. RCMAES integrates a dimension-dependent nonlinear population-size reduction strategy with an adaptive restart mechanism within a pure CMA-ES framework. RCMAES is evaluated on three benchmark suites (CEC2017, CEC2020, and CEC2022) and compared with state-of-the-art DE algorithms as well as its closely related counterpart, BIPOP-aCMAES. Experimental results show that RCMAES achieves competitive and robust performance across all benchmarks.

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BibTeX RIS

Khoirul Faiq Muzakka, Sören Möller, Martin Finsterbusch. 2026-04-29. RCMAES: A Robust CMA-ES Variant for CEC2026 Competition. https://arxiv.org/abs/2604.27138

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