The shifting bottleneck procedure for job shop scheduling
Management Science
Artificial Intelligence - Special issue on knowledge representation
Routing and scheduling in a flexible job shop by tabu search
Annals of Operations Research - Special issue on Tabu search
A tutorial survey of job-shop scheduling problems using genetic algorithms—I: representation
Computers and Industrial Engineering
Computers and Industrial Engineering - Special issue on computational intelligence for industrial engineering
A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling
Computers and Operations Research
An Advanced Tabu Search Algorithm for the Job Shop Problem
Journal of Scheduling
Service-Oriented Architecture: Concepts, Technology, and Design
Service-Oriented Architecture: Concepts, Technology, and Design
Modeling semiconductor testing job scheduling and dynamic testing machine configuration
Expert Systems with Applications: An International Journal
Network Models and Optimization: Multiobjective Genetic Algorithm Approach
Network Models and Optimization: Multiobjective Genetic Algorithm Approach
Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Uncertainty Analysis and Decision Making; Guest Editors: Yan-Kui Liu, Baoding Liu, Jinwu Gao
Heuristic factory planning algorithm for advanced planning and scheduling
Computers and Operations Research
Computers and Industrial Engineering
A theoretic and practical framework for scheduling in a stochastic environment
Journal of Scheduling
An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems
Computers and Industrial Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Multiagent scheduling method with earliness and tardiness objectives in flexible job shops
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
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Scheduling is one of the most important fields in Advanced Planning and Scheduling or a manufacturing optimization. In this paper, we propose a network modeling technique to formulate the complex scheduling problems in manufacturing, and focus on how to model the scheduling problems to mathematical formulation. We propose a multi-section evolutionary algorithm for the scheduling models formulated by network modeling. Through a combination of the network modeling and this multi-section evolutionary algorithm, we can implement the auto-scheduling in the manufacturing system. The effectiveness and efficiency of proposed approach are investigated with various scales of scheduling problems by comparing with recent related researches. Lastly, we introduced service-oriented evolutionary computation architecture software. It help improved the evolutionary computation's availability in the variable practical scheduling in manufacturing.