Pareto-optimality in Scheduling Problems

Authors:
Antonio F. Gómez-Skarmeta;Fernando Jiménez;Jesús Ibáñez
Affiliations:
-;-;-
Venue:
Proceedings of the 6th International Conference on Computational Intelligence, Theory and Applications: Fuzzy Days
Year:
1999

Citing 5
Cited 0

Characterization and generation of a general class of resource-constrained project scheduling problems

Management Science
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization

Proceedings of the 5th International Conference on Genetic Algorithms
Muiltiobjective optimization using nondominated sorting in genetic algorithms

Evolutionary Computation
An overview of evolutionary algorithms in multiobjective optimization

Evolutionary Computation

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Abstract

Recent techniques in multi-mode project scheduling and multiobjective optimization with Evolutionary Algorithms are combined in this paper. We propose a single step Evolutionary Algorithm to find multiple Pcireto-optimal solutions to the multi-mode resource-constrained project scheduling problem which make it possible that the decision maker can be able to choose the most appropiate solution according to the current decision environment.