Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Some scheduling problems with deteriorating jobs and learning effects
Computers and Industrial Engineering
Computers and Operations Research
Single-machine scheduling with sum-of-logarithm-processing-times-based learning considerations
Information Sciences: an International Journal
A new design optimization framework based on immune algorithm and Taguchi's method
Computers in Industry
Experience-based approach to scheduling problems with the learning effect
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Scheduling problems with deteriorating jobs and learning effects including proportional setup times
Computers and Industrial Engineering
Scheduling with job-dependent learning effects and multiple rate-modifying activities
Information Processing Letters
Exact and heuristic algorithms for parallel-machine scheduling with DeJong's learning effect
Computers and Industrial Engineering
Single-machine scheduling with learning effect and resource-dependent processing times
Computers and Industrial Engineering
Scheduling jobs with an exponential sum-of-actual-processing-time-based learning effect
Computers & Mathematics with Applications
Single-machine group scheduling with resource allocation and learning effect
Computers and Industrial Engineering
Computers and Industrial Engineering
Single-machine scheduling jobs with exponential learning functions
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Two-machine flowshop scheduling with truncated learning to minimize the total completion time
Computers and Industrial Engineering
Scheduling with general position-based learning curves
Information Sciences: an International Journal
Two-agent scheduling with learning consideration
Computers and Industrial Engineering
Unrelated parallel-machine scheduling with aging effects and multi-maintenance activities
Computers and Operations Research
Integration of particle swarm optimization and genetic algorithm for dynamic clustering
Information Sciences: an International Journal
Machine scheduling problems with a general learning effect
Mathematical and Computer Modelling: An International Journal
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Scheduling with learning effects has become a popular topic in the past decade; however, most of the research focuses on single-machine problems. In many situations, there are machines in parallel and the skills of workers might be different due to their individual experience. In this paper, we study a uniform parallel machine problem in which the objective is to jointly find an optimal assignment of operators to machines and an optimal schedule to minimize the makespan. Two heuristic algorithms are proposed and computational experiments are conducted to evaluate their performance.