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Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem
(Elsevier, 2012-11)
In this paper, a multi-objective project scheduling problem is addressed. This problem considers two conflicting, priority optimization objectives for project managers. One of these objectives is to minimize the project ...
A new method for decision making in multi-objective optimization problems
(Sociedade Brasileira de Pesquisa Operacional, 2012)
Many engineering sectors are challenged by multi-objective optimization problems. Even if the idea behind these problems is simple and well established, the implementation of any procedure to solve them is not a trivial ...
Multi-objective evolutionary particle swarm optimization in the assessment of the impact of distributed generation
(Elsevier B.V. Sa, 2012-08-01)
This paper proposes a multi-objective approach to a distribution network planning process that deals with the challenges derived from the integration of Distributed Generation (DG). The proposal consists of a multi-objective ...
The use of possibility theory in the definition of fuzzy Pareto-optimality
(SpringerNew YorkEUA, 2011)
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 ...
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 ...
Stochastic multi-objective optimal energy management of grid-connected unbalanced microgrids with renewable energy generation and plug-in electric vehicles
(2022-02-15)
Microgrids (MGs) contribute to the integration of renewable energy-based distributed generation (DG) units and electric vehicles (EVs) in a smart, secure, sustainable, and economic fashion. However, the unbalanced nature ...
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 ...
Multi objective optimization using life cycle environmental impact and cost in the operation of utility plants
(Elsevier B.V., 2009-08)
Environmental and economic objective functions are used simultaneously to select the operating conditions of a steam and power plant. Different methodologies to solve multi objective optimization problems were implemented ...
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks
(2022-04-01)
One of the main causes of power supply interruption in distribution networks is the vegetation. The high cost of tree trimming schedules encourages utilities to look for more efficient ways to manage vegetation. In this ...