The single machine early/tardy problem
Management Science
Scheduling with release dates on a single machine to minimize total weighted completion time
Discrete Applied Mathematics
A greedy heuristic for bicriterion single machine scheduling problems
Computers and Industrial Engineering
One-machine rescheduling heuristics with efficiency and stability as criteria
Computers and Operations Research
An introduction to genetic algorithms
An introduction to genetic algorithms
Genetic algorithms for flowshop scheduling problems
Computers and Industrial Engineering
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
A branch-and-bound algorithm for the single machine earliness and tardiness scheduling problem
Computers and Operations Research
Computers and Industrial Engineering
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
GA-EDA: hybrid evolutionary algorithm using genetic and estimation of distribution algorithms
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing)
Expert Systems with Applications: An International Journal
Adaptive genetic algorithms applied to dynamic multiobjective problems
Applied Soft Computing
Genetic algorithms and artificial life
Artificial Life
A novel genetic algorithm based on immunity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
A hybrid electromagnetism-like algorithm for single machine scheduling problem
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Dynamic diversity control in genetic algorithm for mining unsearched solution space in TSP problems
Expert Systems with Applications: An International Journal
A self-guided genetic algorithm for flowshop scheduling problems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A new evolutionary algorithm using shadow price guided operators
Applied Soft Computing
A Self-guided Genetic Algorithm for permutation flowshop scheduling problems
Computers and Operations Research
Extended artificial chromosomes genetic algorithm for permutation flowshop scheduling problems
Computers and Industrial Engineering
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
A block-based evolutionary algorithm for flow-shop scheduling problem
Applied Soft Computing
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In this paper, a genetic algorithm with injecting artificial chromosomes is developed to solve the single machine scheduling problems. Artificial chromosomes are generated according to a probability matrix which is transformed from the dominance matrix by mining the gene structure of an elite base. A roulette wheel selection method is applied to generate an artificial chromosome by assigning genes onto each position according to the probability matrix. The higher the probability is, the more possible that the job will show up in that particular position. By injecting these artificial chromosomes, the genetic algorithm will speed up the convergence of the evolutionary processes. Intensive experimental results indicate that proposed algorithm is very encouraging and it can improve the solution quality significantly.