Markov chain hyper-heuristic (MCHH): an online selective hyper-heuristic for multi-objective continuous problems.
Kent McClymontEdward C. KeedwellPublished in: GECCO (2011)
Keyphrases
- hyper heuristics
- markov chain
- examination timetabling
- evolutionary algorithm
- multi objective
- difficult problems
- genetic programming
- timetabling problem
- graph coloring
- metaheuristic
- constraint satisfaction problems
- cutting stock problems
- search procedure
- multi objective optimization
- steady state
- optimization problems
- transition probabilities
- finite state
- heuristic search
- optimization algorithm
- monte carlo simulation
- markov model
- state space
- heuristic methods
- genetic algorithm
- monte carlo
- monte carlo method
- evolutionary computation
- random walk
- nsga ii
- search heuristics
- combinatorial optimization
- stationary distribution
- memetic algorithm
- search methods
- np complete
- particle swarm optimization
- simulated annealing
- transition matrix
- np hard
- reinforcement learning