Genetic Algorithm for a Two-Agent Scheduling Problem with Truncated Learning Consideration
From MaRDI portal
Publication:5174416
DOI10.1142/S0217595914500468zbMath1307.90077OpenAlexW2040409880MaRDI QIDQ5174416
Peng-Hsiang Hsu, Wen-Hsiang Wu, Shuenn-Ren Cheng, Yunqiang Yin, Chin-Chia Wu
Publication date: 17 February 2015
Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0217595914500468
Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Related Items (2)
Two-stage three-machine assembly scheduling problem with sum-of-processing-times-based learning effect ⋮ Grain Price Forecasting Using a Hybrid Stochastic Method
Cites Work
- Two-agent scheduling with position-based deteriorating jobs and learning effects
- Single-machine scheduling simultaneous with position-based and sum-of-processing-times-based learning considerations under group technology assumption
- Single machine scheduling with exponential sum-of-logarithm-processing-times based learning effect
- Minimizing the total completion time in single-machine scheduling with aging/deteriorating effects and deteriorating maintenance activities
- Scheduling with job-dependent learning effects and multiple rate-modifying activities
- Single-machine and two-machine flowshop scheduling with general learning functions
- A note on the scheduling with two families of jobs
- A note on the total completion time problem in a permutation flowshop with a learning effect
- A bicriteria flowshop scheduling with a learning effect
- A due-date assignment problem with learning effect and deteriorating jobs
- Single machine scheduling problems under the effects of nonlinear deterioration and time-dependent learning
- Minimizing the total weighted completion time on a single machine scheduling with release dates and a learning effect
- Some scheduling problems with sum-of-processing-times-based and job-position-based learning effects
- Single-machine scheduling with learning considerations
- Improved genetic algorithm for the permutation flowshop scheduling problem.
- A note on the complexity of the problem of two-agent scheduling on a single machine
- Single-machine scheduling with general learning functions
- Some scheduling problems with general position-dependent and time-dependent learning effects
- A multiple-criterion model for machine scheduling
- A state-of-the-art review on scheduling with learning effects
- Multi-agent scheduling on a single machine with max-form criteria
- A genetic local search algorithm for minimizing total weighted tardiness in the job-shop scheduling problem
- Multi-agent single machine scheduling
- A new approach to the learning effect: Beyond the learning curve restrictions
- Multi-agent scheduling on a single machine to minimize total weighted number of tardy jobs
- A SINGLE-MACHINE DETERIORATING JOB SCHEDULING PROBLEM WITH A NON-REGULAR CRITERION
- SINGLE MACHINE SCHEDULING WITH LINEAR DETERIORATING JOBS UNDER PREDICTIVE DISRUPTION
- SINGLE MACHINE SCHEDULING WITH A LEARNING EFFECT AND A RATE-MODIFYING ACTIVITY
- Flow-shop scheduling with a learning effect
- SCHEDULING PROBLEMS WITH THE EFFECTS OF DETERIORATION AND LEARNING
- Two-Agent Scheduling with Linear Deteriorating Jobs on a Single Machine
- Single-machine scheduling with a sum-of-actual-processing-time-based learning effect
- Generating Experimental Data for Computational Testing with Machine Scheduling Applications
- Single machine scheduling with a time-dependent learning effect and deteriorating jobs
- Scheduling Problems with Two Competing Agents
- Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey
- Genetic Algorithms and Random Keys for Sequencing and Optimization
- Parallel machine scheduling with a learning effect
- A genetic algorithm for flow shop scheduling problems
- Scheduling jobs with position-dependent processing times
- Single machine scheduling with learning effect considerations
- Minmax earliness-tardiness costs with unit processing time jobs
This page was built for publication: Genetic Algorithm for a Two-Agent Scheduling Problem with Truncated Learning Consideration