Hybrid genetic algorithm for the economic lot-scheduling problem

DOI10.1080/00207540110095222zbMath1063.90520OpenAlexW1999513701MaRDI QIDQ4706269

Sangjin Choi, Edward A. Silver, Il-Kyeong Moon

Publication date: 2002

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540110095222

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (10)

Accounting for idle capacity cost in the scheduling of economic lot sizes ⋮ Two metaheuristic methods for the common cycle economic lot sizing and scheduling in flexible flow shops with limited intermediate buffers: the finite horizon case ⋮ The economic lot scheduling problem: a pure genetic search approach ⋮ Planning of multi-product pipelines by economic lot scheduling models ⋮ Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms ⋮ A genetic algorithm for solving the economic lot scheduling problem in flow shops ⋮ Solving the economic lot scheduling problem with multiple facilities in parallel using the time-varying lot sizes approach ⋮ A hybrid genetic algorithm for the finite horizon economic lot and delivery scheduling in supply chains ⋮ Replenishment policy based on modified ant colony optimisation and statistical analysis under the pre-order penetration point ⋮ Hybrid genetic algorithm for group technology economic lot scheduling problem

Cites Work

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• Strategic investment to reduce setup times in the economic lot scheduling problem
• A Dynamic Programming Approach to a Lot Size Scheduling Problem

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