- Central force optimization
- Artificial physics optimization
- Gravitational search algorithm
- Gravitational interaction optimization
- Immune gravitation inspired optimization algorithm
- Electromagnetism-like heuristic
- Charged system search
- Mass and Energy Balances Algorithm
- Momentum Balance Algorithm
- Quantum-inspired genetic algorithm
- Quantum-inspired evolutionary algorithm
- Semiphysical Quantum Mechanics
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Physics-based algorithms
Physics-based algorithms generally belong to the fields of metaheutics and computational intelligence, although they do not fit neatly into the existing categories of biologically-inspired techniques (such as Swarm, Immune, Neural, and Evolution). In this light, they might as well be called nature-inspired algorithms.
Inspiring physical systems range from metallurgy, music, the interplay between culture and evolution, and complex dynamic systems such as avalanches. These are generally stochastic optimization algorithms with a mixture of local (neighborhood-based) and global search techniques.
