The C++ programming language (2nd ed.)
The C++ programming language (2nd ed.)
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Object-oriented modeling and design
Object-oriented modeling and design
Communications of the ACM
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A human-centered approach for intelligent Internet applications
Soft computing agents
Lot sizing and furnace scheduling in small foundries
Computers and Operations Research
Expert Systems with Applications: An International Journal
Machine scheduling in custom furniture industry through neuro-evolutionary hybridization
Applied Soft Computing
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This article describes a feasible approach to solve large-scale and real-world scheduling problems. Assuming that a problem can be divided into several subproblems, our approach applies different optimization methods to different classes of subproblems. This fundamental idea is realized in a scheduling problem solver that provides a variety of useful optimization methods, including rule-base systems and genetic algorithms. To show the solver's feasibility, we applied it to a scheduling problem that occurs in the steelmaking process. Finally, we discuss some future directions of the solver.