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Dive into the research topics of 'Distributed genetic algorithm for deterministic and stochastic labor scheduling problems'. Together they form a unique fingerprint.
Mathematics
Distributed Algorithms
Genetic Algorithm
Scheduling Problem
Efficient Frontier
Genetic Operators
Costs
Set Covering Problem
Tabu Search
Message Passing
Set Covering
Formulation
Metaheuristics
Alternatives
Feasible region
CPU Time
Simulated Annealing
Percentage
Fitness
Schedule
Join
Test Problems
Penalty
Locus
Economics
Refinement
Heuristics
Minimise
Optimization Problem
Performance
Standards
Business & Economics
Genetic Algorithm
Scheduling Problem
Labor
Set Covering Problem
Work Schedules
Workstation
Economic Significance
Tabu Search
Simulated Annealing
Metaheuristics
Efficient Frontier
Alternatives
Fitness
Opportunity Cost
Service Organization
Employees
Join
Heuristics
Optimization Problem
Penalty
Operator
Expenses
Costs
Engineering & Materials Science
Parallel algorithms
Personnel
Genetic algorithms
Scheduling
Tabu search
Message passing
Simulated annealing
Mathematical operators
Program processors
Costs
Economics
Social Sciences
scheduling
labor
tabu
workstation
opportunity costs
fitness
heuristics
penalty
employee