Tag: differential evolution

Researchers have developed eLSHADE+, an adaptive hybrid metaheuristic that improves dynamic model calibration in large-scale systems biology.

Researchers have developed a quantum-inspired differential evolution algorithm that improves solution accuracy and stability across numerical benchmarks and in-sample portfolio ...

An improved Tornado Optimizer incorporating Coriolis force achieved the same shortest path as Dijkstra's algorithm across thirty independent test runs ...

Researchers have identified significant differences in the energy consumption of four widely used nature-inspired optimization algorithms, with Differential Evolution (DE) ...

A dolphin-inspired optimizer called DCFO produced the shortest aggregate paths for simulated robot teams of six and twelve navigating dynamic ...

A hybrid optimization algorithm reduced simulated EV parking lot operational costs by 17.7% and peak grid dependency by 36.3% under ...

A new risk-averse three-objective two-stage stochastic model for Thailand's biomass pellet supply chain shows that the avoided-burning carbon credit, not ...

A neural-network surrogate paired with differential evolution reduced model-predicted EV battery thermal risk by 94.8% across charging rates from 0.5C ...

Researchers have developed a hierarchical evolutionary deep reinforcement learning algorithm that optimizes influence spreading on multilayer hypergraphs, where group interactions ...

The Rubik's Cube has long served as a demanding benchmark for autonomous systems precisely because it compresses so many difficulties ...