A multi-objective Chaos Game Optimization algorithm based on decomposition and random learning mechanisms for numerical optimization.
Salma YacoubiGhaith ManitaAmit ChhabraOuajdi KorbaaSeyedali MirjaliliPublished in: Appl. Soft Comput. (2023)
Keyphrases
- optimization algorithm
- numerical optimization
- multi objective
- artificial bee colony
- learning mechanisms
- particle swarm optimization
- differential evolution
- test functions
- evolutionary algorithm
- cognitive architecture
- multi objective optimization
- learning strategies
- nsga ii
- learning mechanism
- optimization method
- multiobjective optimization
- learning algorithm
- objective function
- learning processes
- genetic algorithm
- learning process
- multiple objectives
- particle swarm optimization pso
- artificial immune system
- evolution strategy
- pareto optimal
- artificial intelligence
- global optimization
- control parameters
- swarm intelligence
- evolutionary computation
- genetic programming
- bi objective