The use of genetic algorithms to solve the economic lot size scheduling problem
From MaRDI portal
Publication:1303538
DOI10.1016/S0377-2217(97)00270-1zbMath0941.90004OpenAlexW2091210562MaRDI QIDQ1303538
Michael Wilmot, Zbigniew Michalewicz, Moutaz J. Khouja
Publication date: 28 May 2000
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0377-2217(97)00270-1
Learning and adaptive systems in artificial intelligence (68T05) Deterministic scheduling theory in operations research (90B35) Inventory, storage, reservoirs (90B05)
Related Items
On optimal partially integrated production and marketing policy with variable demand under flexibility and reliability considerations via genetic algorithm ⋮ Agile factorial production for a single manufacturing line with multiple products ⋮ An application of genetic algorithm in solving an inventory model with advance payment and interval valued inventory costs ⋮ An application of real-coded genetic algorithm (RCGA) for mixed integer nonlinear programming in two-storage multi-item inventory model with discount policy ⋮ The economic lot scheduling problem: a pure genetic search approach ⋮ 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 ⋮ An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal two-warehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon) ⋮ Applying particle swarm optimisation to dynamic lot sizing with batch ordering ⋮ An application of genetic algorithm in a marketing oriented inventory model with interval valued inventory costs and three-component demand rate dependent on displayed stock level ⋮ MODELING (r, Q) POLICY IN A TWO-LEVEL SUPPLY CHAIN SYSTEM WITH FUZZY DEMAND ⋮ Hybrid genetic algorithm for the economic lot-scheduling problem ⋮ Finding effective schedules for the economic lot scheduling problem: A simple mixed integer programming approach ⋮ A search heuristic for the sequence-dependent economic lot scheduling problem ⋮ A multiobjective model of wholesaler-retailers' problem via genetic algorithm ⋮ Hybrid genetic algorithm for group technology economic lot scheduling problem ⋮ A knowledge-based evolutionary strategy for scheduling problems with bottlenecks ⋮ Multi-level lot sizing and job shop scheduling with compressible process times: a cutting plane approach
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A genetic algorithm for flowshop sequencing
- Scheduling Economic Lot Size Production Runs
- Controllable production rates in a family production context
- The Economic Lot-Scheduling Problem: Achieving Feasibility Using Time-Varying Lot Sizes
- On the Feasibility of Scheduling Lot Sizes for Two Products on One Machine
- Computing Optimal Lot Sizes in the Economic Lot Scheduling Problem
- The Effect of Externalizing Setups in the Economic Lot Scheduling Problem
- Feasibility of Scheduling Lot Sizes of Three Products on One Machine
- Lot Sizing and Sequencing for N Products on One Facility
- The Economic Lot Scheduling Problem (ELSP): Review and Extensions
- Reduced production rates in the economic lot scheduling problem
- Rounding Off to Powers of Two in Continuous Relaxations of Capacitated Lot Sizing Problems
- On the General Feasibility Test of Scheduling Lot Sizes for Several Products on One Machine
- Strategic investment to reduce setup times in the economic lot scheduling problem
- A Dynamic Programming Approach to a Lot Size Scheduling Problem
