Researchers have fused an improved particle swarm optimization algorithm with simulated annealing to build a hybrid portfolio ...

Optimization algorithms seek the best possible solutions to complex problems by iteratively refining candidate solutions. Swarm intelligence techniques draw inspiration from collective behaviours in ...

Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based ...

As cities worldwide accelerate toward electrification and decarbonization, the convergence of distributed energy resources and electric mobility is reshaping the architecture of modern power systems.

When we think of intelligence, we often picture individuals—genius minds who stand out as towering beacons of insight. But what if intelligence isn’t just about individual brilliance? What if, instead ...

Researchers have suggested to use a hybrid version of the so-called salp swarm algorithm (SSA) algorithm for maximum power point tracking in PV systems operating under highly fluctuating environmental ...