Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems.
Jorge M. Cruz-DuarteIván AmayaJosé Carlos Ortiz-BaylissNelishia PillayPublished in: SSCI (2021)
Keyphrases
- online learning
- hyper heuristics
- continuous optimization problems
- optimization problems
- metaheuristic
- evolutionary algorithm
- particle swarm optimization
- combinatorial optimization problems
- combinatorial optimization
- simulated annealing
- bayes classifiers
- genetic programming
- tabu search
- search procedure
- differential evolution
- examination timetabling
- bayesian classifiers
- grasp with path relinking
- e learning
- multi objective
- constraint satisfaction problems
- timetabling problem
- scatter search
- genetic algorithm
- difficult problems
- continuous optimization
- heuristic search
- bayes classifier
- optimal solution
- optimization methods
- ant colony optimization
- dynamic programming
- special case
- search space