Genetic Algorithms for Industrial Planning

TL;DRAbstract

. Genetic Algorithms have been an active research area for more than three decades, but the industrial applications of this search technique have been scarce. There may be several reasons for this. The EVALIA 1 project (EVolutionary ALgorithms for Industrial Applications) attempts to test the value of Genetic Algorithms on realistic industrial problems. Further a general framework is developed to ease the implementation of optimisation programs for industrial problems. This article reports on the first results of this project, when testing the framework on a real-world planning problem at Odense Steel Shipyard (OSS). Further this article will report on the possibilities of specialised Genetic Algorithm techniques: Adaptive Operators which are used in what we call the shotgun approach, the Pareto technique for multi-objective optimisation and Co-evolutionary Constraint Satisfaction. Keywords: Genetic Algorithms, Simulated Annealing, real world scheduling. 1 Introduction The rise of c...

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