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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 ...
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 control for cooperative payload transport with rotorcraft UAVs
(Elsevier Science Inc, 2018-09)
A novel kinematic formation controller based on null-space theory is proposed to transport a cable-suspended payload with two rotorcraft UAVs considering collision avoidance, wind perturbations, and properly distribution ...
Multi-objective finite-time control for the interlinking converter on hybrid AC/DC microgrids
(IEEE Access, 2021)
Hybrid AC/DC microgrids are of special interest for energization due to their exibility, low
infrastructure investments, reduced conversion losses, and reliability against failures on the utility grid.
In these systems, ...
Double-objective economic statistical design of the VP T-2 control chart: Wald's identity approach
(Taylor & Francis Ltd, 2014-10-01)
Research has shown that applying the T-2 control chart by using a variable parameters (VP) scheme yields rapid detection of out-of-control states. In this paper, the problem of economic statistical design of the VP T-2 ...
A Parallel Multi-Objective Cooperative Coevolutionary Algorithm for Optimising Small-World Properties in VANETs
(Centro Latinoamericano de Estudios en Informática, 2014)
MOVPSO: Vortex Multi-Objective Particle Swarm Optimization
This paper presents the Multi-Objective Vortex Particle Swarm Optimization MOVPSO as a strategy based on the behavior of a particle swarm using rotational and translational motions. The MOVPSO strategy is based upon the ...
Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm
The main purpose of this paper is allowing doubly fed induction generator wind farms (DFIG), which are connected to power system, to effectively participate in feeding electrical loads. The oscillation in power system is ...
Pareto-based modulated model predictive control strategy for power converter applications
(Elsevier Ltd, 2019)
Modulated model predictive control (M 2 PC) allows fixed switching frequency operation of power converters, producing lower ripple and lower total harmonic distortion (THD) in the output signals than those obtained using ...
Double-objective economic statistical design of the VP T-2 control chart: Wald's identity approach
(Taylor & Francis Ltd, 2015)