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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Inequalities and Target Objectives for Metaheuristic Search – Part I: Mixed Binary Optimization
verfasst von : Fred Glover
Erschienen in: Advances in Metaheuristics for Hard Optimization
Verlag: Springer Berlin Heidelberg
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Recent adaptive memory and evolutionary metaheuristics for mixed integer programming have included proposals for introducing inequalities and target objectives to guide the search. These guidance approaches are useful in intensification and diversification strategies related to fixing subsets of variables at particular values, and in strategies that use linear programming to generate trial solutions whose variables are induced to receive integer values. We show how to improve such approaches by new inequalities that dominate those previously proposed and by associated target objectives that underlie the creation of both inequalities and trial solutions.