Pages that link to "Item:Q1303538"
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The following pages link to The use of genetic algorithms to solve the economic lot size scheduling problem (Q1303538):
Displaying 25 items.
- Agile factorial production for a single manufacturing line with multiple products (Q319672) (← links)
- An application of real-coded genetic algorithm (RCGA) for mixed integer nonlinear programming in two-storage multi-item inventory model with discount policy (Q865531) (← links)
- The economic lot scheduling problem: a pure genetic search approach (Q878555) (← links)
- Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms (Q903019) (← links)
- 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 (Q990548) (← links)
- A genetic algorithm for multi-level, multi-machine lot sizing and scheduling (Q1304519) (← links)
- Heuristic genetic algorithms for general capacitated lot-sizing problems (Q1609180) (← links)
- A search heuristic for the sequence-dependent economic lot scheduling problem (Q1848619) (← links)
- A knowledge-based evolutionary strategy for scheduling problems with bottlenecks (Q1869426) (← links)
- Multi-level lot sizing and job shop scheduling with compressible process times: a cutting plane approach (Q2356184) (← links)
- On optimal partially integrated production and marketing policy with variable demand under flexibility and reliability considerations via genetic algorithm (Q2371464) (← links)
- Genetic algorithms for a supply management problem: MIP-recombination vs greedy decoder (Q2378418) (← links)
- An application of genetic algorithm in solving an inventory model with advance payment and interval valued inventory costs (Q2390041) (← links)
- A multiobjective model of wholesaler-retailers' problem via genetic algorithm (Q2574353) (← links)
- Solving the economic lot scheduling problem with multiple facilities in parallel using the time-varying lot sizes approach (Q3008607) (← links)
- Applying particle swarm optimisation to dynamic lot sizing with batch ordering (Q3055436) (← links)
- MODELING (r, Q) POLICY IN A TWO-LEVEL SUPPLY CHAIN SYSTEM WITH FUZZY DEMAND (Q3070080) (← links)
- Evolutionary algorithms for production planning problems with setup decisions (Q3154388) (← links)
- Hybrid genetic algorithm for group technology economic lot scheduling problem (Q3430241) (← links)
- A genetic algorithm for solving the economic lot scheduling problem in flow shops (Q3518466) (← links)
- Finding effective schedules for the economic lot scheduling problem: A simple mixed integer programming approach (Q4474707) (← links)
- Applying designed experiments to optimize the performance of genetic algorithms used for scheduling complex products in the capital goods industry (Q4540876) (← links)
- 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) (Q4653720) (← links)
- Hybrid genetic algorithm for the economic lot-scheduling problem (Q4706269) (← links)
- Evolutionary Computation in Combinatorial Optimization (Q5706001) (← links)
