A Comparative Study of the Coulomb's and Franklin's Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization.
Mojtaba GhasemiMohsen ZareAmir ZahediRasul HemmatiLaith AbualigahAgostino ForestieroPublished in: PerSOM (2022)
Keyphrases
- numerical optimization
- evolutionary algorithm
- test functions
- dynamic programming
- learning algorithm
- optimization algorithm
- np hard
- evolution strategy
- particle swarm optimization algorithm
- genetic programming
- computational efficiency
- artificial immune system
- cost function
- multi objective
- optimization problems
- combinatorial optimization
- multi objective optimization
- min max
- optimal solution
- machine learning