A neuromorphic optimisation framework using spike-driven heuristics on Lava NC evaluated on continous optimisation problems.

This paper examines neuromorphic-based metaheuristics as low-power, low-latency alternatives to conventional optimisation.

NEVA, a neuromorphic evolutionary algorithm that integrates spiking neural networks with evolutionary computing for efficient, energy-aware metaheuristic optimization.

This paper presents NeurOptimiser framework, where spike-driven heuristics generate emergent metaheuristic search.