NeurOptimisation: The Spiking Way to Evolve
arXiv
A neuromorphic optimisation framework using spike-driven heuristics on Lava NC evaluated on continous optimisation problems.
arXiv
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Towards Neuromorphic Evolutionary Computation: A Position Paper
IEEE World Congress on Computational Intelligence (WCCI) 2026, Maastricht, Netherlands
Neuromorphic and evolutionary computing are ready to converge, and this paper sets out what is needed to turn that into a rigorous, reproducible on-chip paradigm.
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NEVO: A Neuromorphic EVolutionary Optimiser with Spike-Driven Cortico-Basal-Thalamic Coordination
IEEE World Congress on Computational Intelligence (WCCI) 2026, Maastricht, Netherlands
NEVO shows that spike-driven control can steer evolutionary optimisation effectively on simpler problems, while making clear what is needed to scale to higher dimensions.
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Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms
arXiv
This paper examines neuromorphic-based metaheuristics as low-power, low-latency alternatives to conventional optimisation.
arXiv
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NEVA: A Neuromorphic Evolutionary Algorithm
International Conference on Optimization and Learning (OLA) 2025, Dubai, United Arab Emirates
NEVA, a neuromorphic evolutionary algorithm that integrates spiking neural networks with evolutionary computing for efficient, energy-aware metaheuristic optimization.