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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 multi-objective evaluation of the impact of the penetration of Distributed Generation
(2011-12-01)
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 evaluation of the impact of the penetration of Distributed Generation
(2011-12-01)
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 ...
MULTI-LEVEL INTEGER PROGRAMMING PROBLEM WITH MULTIPLE OBJECTIVES AT EACH LEVELPROGRAMACIÓN ENTERA MULTINIVEL PROBLEMA CON MÚLTIPLES OBJETIVOS EN CADA NIVEL
(Departamento de Matemática Aplicada. Facultad de Matemática y Computación. Universidad de La Habana, 2023)
Statistical analysis of a multi-objective optimization algorithm based on a model of particles with vorticity behavior
In this paper, a strategy for multi-objective optimization based upon the behavior of a particle swarm with rotational and linear motion is presented. The strategy for multi-objective optimization is based upon the emulation ...
Coordinated Tuning of a Group of Static Var Compensators Using Multi-Objective Genetic Algorithm
(Centro Latinoamericano de Estudios en Informática, 2011)
Characterization of robust solutions of multi-objetive optimization models with uncertain weights: applications in a sawmill
(2018)
The use of weights in multi-objective problems is one of the simplest ways to include multiple criteria in optimization models, in what is known as a weighted-sum approach. However, the solution to these models is highly ...
Characterization of robust solutions of multi-objetive optimization models with uncertain weights: applications in a sawmill
(2018)
The use of weights in multi-objective problems is one of the simplest ways to include multiple criteria in optimization models, in what is known as a weighted-sum approach. However, the solution to these models is highly ...
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 ...