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Genetic local search for multi-objective flowshop scheduling problems
(Elsevier Science BvAmsterdamHolanda, 2005)
A Hybrid Multi-Criteria Methodology for Solving the Sustainable Dispatch Problem
(Mdpi, 2020-09-01)
Wind energy is becoming an increasingly substantial component of many nations' energy portfolios. The intermittent nature of wind energy is traded off in a multi-objective sense against its environmental benefits when ...
Heuristically accelerated reinforcement learning modularization for multi-agent multi-objective problems
(2014)
This article presents two new algorithms for finding the optimal solution of a Multi-agent Multi-objective Reinforcement Learning problem. Both algorithms make use of the concepts of modularization and acceleration by a ...
Robust Multi-stage Substation Expansion Planning Considering Stochastic Demand
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2016)
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation
(ElsevierNew York, 2014-02-10)
Decision tree induction algorithms represent one of the most popular techniques for dealing with classification problems. However, traditional decision-tree induction algorithms implement a greedy approach for node splitting ...
Optimized Technical and Economic Evaluation of the Connection Point of Distributed Generators
(Springer, 2015-12-01)
In most studies, the problem of allocation and sizing of the distributed generation is addressed considering that the distributed generators (DGs) could be installed in any bus of the system. Thus, these studies bring the ...
Multi-objective evolutionary approaches for intelligent design of sensor networks in the petrochemical industry
(Pergamon-Elsevier Science Ltd, 2012-02)
The design of optimal sensor networks for an industrial process is a complex problem that requires the resolution of several tasks with a high level of expertise. The first of these subproblems consists in selecting an ...