The use of genetic algorithms to solve the economic lot size scheduling problem

Article Abstract:

The use of genetic algorithms (GA) for solving the Economic Lot Size Scheduling Problem under the Basic Period method is assessed on the classical problem of Bomberger. Results indicate that binary representation performs better than Gray coding, two-point crossover is best, and infeasible start is preferable than feasible. The solutions were more desirable than those generated using the iterative dynamic programming method with 2.15% decrease in total cost for 66% utilization and .15% for 88% utilization.

Analysis, Algorithms, Economic lot size

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Identical parallel machines vs. unit-time shops and preemptions vs. chains scheduling complexity

Article Abstract:

The new polynomial-time reductions among scheduling problems that connect identical parallel machines with unit-time shops and the preemption facility with chain-like precedence constraints in same machine environment are analyzed. The main purpose of this study was to reveal the relationship between problems in different scheduling classes.

Methods, Scheduling (Management), Unit pricing, Optimization theory, Mathematical programming, Parallel computers

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Basket problems in margin calculation: Modelling and algorithms

Article Abstract:

Models and algorithms for the basket problems in margin calculation are considered.

Basket trading (Securities)

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