A bi-objective genetic algorithm for intelligent rehabilitation scheduling considering therapy precedence constraints.
Lizhong ZhaoChen-Fu ChienMitsuo GenPublished in: J. Intell. Manuf. (2018)
Keyphrases
- precedence constraints
- bi objective
- multi objective
- genetic algorithm
- scheduling problem
- multi objective optimization
- branch and bound algorithm
- ant colony optimization
- precedence relations
- parallel machines
- release dates
- multiple objectives
- parallel processors
- evolutionary algorithm
- efficient solutions
- maximum lateness
- sequence dependent setup times
- job shop scheduling problem
- single machine scheduling problem
- optimization algorithm
- nsga ii
- unit length
- approximation algorithms
- partial order
- partially ordered
- network design
- tabu search
- particle swarm optimization
- global constraints
- flowshop
- differential evolution
- fitness function
- metaheuristic
- test problems
- single machine
- genetic programming
- np hard
- lower bound
- branch and bound
- shortest path problem
- simulated annealing
- optimal solution
- routing problem
- special case
- identical machines
- search space