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A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
(Ieee, 2011-01-01)
This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective ...
A multi-objective memetic algorithm for the job-shop scheduling problem
(Springer, 2012-04-25)
Planning means, in the realm of production activities, to design, coordinate, manage and control all the operations involved in the production system. Many MOPs (Multi-Objective Optimization Problems) are generated in ...
A multi-objective capacitated rural school bus routing problem with heterogeneous fleet and mixed loads
(Universidade Federal de Minas GeraisBrasilENG - DEPARTAMENTO DE ENGENHARIA PRODUÇÃOFCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVASUFMG, 2017)
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 ...
MILP-based clustering method for multi-objective optimization: Application to environmental problems
(Elsevier, 2013-09)
Multi-objective optimization (MOO) has recently emerged as a useful technique in environmental engineering. One major limitation of this approach is that its computational burden grows rapidly with the number of environmental ...
Multi-objective variable neighborhood search algorithms for a single machine scheduling problem with distinct due windows
(Electronic Notes in Theoretical Computer Science, 2018)
Una metodología eficiente para manejo de restricciones en algoritmos evolutivos multi-objetivo
(2009-09-01)
This paper presents a new approach for solving constraint optimization problems (COP) based on the philosophy of lexicographical goal programming. A two-phase methodology for solving COP using a multi-objective strategy ...