Focal Interest
Focal Interest

Job shop scheduling

  1. Scheduling model integrates pallets, machines, and setup stations
    Mixed-integer programming and mutation-based algorithm for scheduling flexible manufacturing with pallet automation, setup stations, and fixture pallets to minimize makespan.
  2. Hybrid scheduling algorithm cuts pharmaceutical production costs
    Improved particle swarm optimization algorithm reduces pharmaceutical manufacturing costs by 6.3% through enhanced scheduling efficiency, improving equipment utilization and delivery rates.
  3. AGENT improved makespan in heterogeneous cloud task allocation
    AGENT framework improves task allocation in cloud systems using elitism-guided genetic algorithm with adaptive parameters, achieving 3-29% makespan improvements for heterogeneous VM scheduling.
  4. Online genetic programming improved scheduling in dynamic job shops
    Online Genetic Programming evolves dynamic flexible job shop scheduling rules in real-time without simulation models, achieving superior performance through adaptive fitness and population.