Toward a unified thermodynamic genetic operator
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Modeling integrated CAPP/PPS systems
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
Order Assignment and Scheduling in a Supply Chain
Operations Research
Computers and Operations Research
A genetic algorithm for the Flexible Job-shop Scheduling Problem
Computers and Operations Research
Genetic optimization of order scheduling with multiple uncertainties
Expert Systems with Applications: An International Journal
A hybrid genetic algorithm for no-wait job shop scheduling problems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Multi-objective scheduling of dynamic job shop using variable neighborhood search
Expert Systems with Applications: An International Journal
Flexible job-shop scheduling with parallel variable neighborhood search algorithm
Expert Systems with Applications: An International Journal
A multi-objective ant colony system algorithm for flow shop scheduling problem
Expert Systems with Applications: An International Journal
A multi-objective PSO for job-shop scheduling problems
Expert Systems with Applications: An International Journal
An effective genetic algorithm for the flexible job-shop scheduling problem
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Solving flexible flow-shop problem with a hybrid genetic algorithm and data mining: A fuzzy approach
Expert Systems with Applications: An International Journal
Non-identical parallel machine scheduling using genetic algorithm
Expert Systems with Applications: An International Journal
An introduction to simulated evolutionary optimization
IEEE Transactions on Neural Networks
Reinforcement learning approach to goal-regulation in a self-evolutionary manufacturing system
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Automatic planning for machine tool calibration: A case study
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
The genetic algorithm, the simulated annealing algorithm and the optimum individual protecting algorithm are based on the order of nature, and there exist some application limitations on global astringency, population precocity and convergence rapidity. An adaptive annealing genetic algorithm is proposed to deal with the job-shop planning and scheduling problem for the single-piece, small-batch, custom production mode. In the AAGA, the adaptive mutation probability is included to improve upon the convergence rapidity of the genetic algorithm, and to avoid local optimization, the Boltzmann probability selection mechanism from the simulated annealing algorithm, which solves the population precocity and the local convergence problems, is applied to select the crossover parents. Finally, the AAGA-based job-shop planning and scheduling problem is discussed, and the computing results of AAGA and GA are depicted and compared.