Journal Article10.1016/J.COMPCHEMENG.2007.09.006
Engineered versus standard evolutionary algorithms: A case study in batch scheduling with recourse
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TL;DR: An efficient engineered evolutionary algorithm is developed which is shown to cover the feasible set significantly better such that a high quality feasible schedule can be generated comparatively fast.
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About: This article is published in Computers & Chemical Engineering. The article was published on 24 Nov 2008. The article focuses on the topics: Evolutionary programming & Memetic algorithm.
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Citations
Scope for industrial applications of production scheduling models and solution methods
Iiro Harjunkoski,Christos T. Maravelias,Peter Bongers,Pedro M. Castro,Sebastian Engell,Ignacio E. Grossmann,John N. Hooker,Carlos A. Méndez,Guido Sand,John M. Wassick +9 more
TL;DR: The aim of the paper is to focus on the industrial aspects of scheduling and discuss the main characteristics, including strengths and weaknesses of the presented approaches, as well as some lessons learned from industry.
511
Superstructure-free synthesis and optimization of distributed industrial energy supply systems
TL;DR: In this article, the authors proposed an approach for the superstructure-free synthesis and optimization of distributed energy supply systems (DESS) by exploiting the nature of evolutionary algorithms, where a mutation operator employs generic replacement rules to replace parts of energy supply system by alternative designs.
69
An effective hybrid particle swarm optimization for batch scheduling of polypropylene processes
TL;DR: Simulation results based on a set of random instances and comparisons with several adaptations of constructive methods and meta-heuristics demonstrate the effectiveness of the proposed HPSO.
56
Hybrid genetic optimization for solving the batch-scheduling problem in a pharmaceutical industry
TL;DR: In this paper, a real-world parallel machines scheduling problem from the pharmaceutical environment has been tackled and a dedicated hybrid genetic algorithm equipped with a two-stage encoding and a proper local search has been developed.
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