A chaotic particle swarm optimization exploiting a virtual quartic objective function based on the personal and global best solutions.
Keiji TatsumiTakeru IbukiTetsuzo TaninoPublished in: Appl. Math. Comput. (2013)
Keyphrases
- objective function
- optimal solution
- chaotic particle swarm optimization
- feasible solution
- virtual environment
- multi objective
- weighted sum
- benchmark problems
- virtual reality
- optimization problems
- linear programming
- machine learning
- constrained optimization
- augmented reality
- virtual world
- lower bound
- model selection
- fuzzy logic
- support vector machine
- decision trees
- solution quality
- global optimum
- knowledge base
- social networks
- reconstruction error
- convex functions
- real time