Solving the economic lot scheduling problem with deteriorating items using genetic algorithms

Ming-Jong Yao; Jian-Xiong Huang

doi:10.1016/j.jfoodeng.2004.05.077

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Solving the economic lot scheduling problem with deteriorating items using genetic algorithms

Ming-Jong Yao Jian-Xiong Huang

Year: 2004 Journal: Journal of Food Engineering Vol: 70 (3)Pages: 309-322 Publisher: Elsevier BV

DOI: 10.1016/j.jfoodeng.2004.05.077

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Keywords:

Sizing Scheduling (production processes) Mathematical optimization Benchmark (surveying) Computer science Job shop scheduling Binary number Heuristic Genetic algorithm Heuristics Operations research Mathematics Schedule Arithmetic

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Topics

Supply Chain and Inventory Management

Social Sciences → Business, Management and Accounting → Management Information Systems

Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Optimization and Mathematical Programming

Physical Sciences → Engineering → Control and Systems Engineering

Solving the economic lot scheduling problem with deteriorating items using genetic algorithms

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Citation History

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