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A particle swarm optimizer for multi-objective optimization
(Universidad Nacional de La Plata. Facultad de Informática, 2005-12)
This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a ...
Investigation of Archiving Techniques for Evolutionary Multi-objective Optimizers
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2018)
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 ...
Evolving disjunctive and conjunctive topical queries based on multi-objective optimization criteria
(Sociedad Iberoamericana de Inteligencia Artificial, 2009-02)
In this work we propose techniques based on single - and multi-objective evolutionary algorithms to automatically evolve a population of topical queries. The developed techniques can be applied in the implementation of a ...
Optimizing the multi-level location-assignment problem in queue networks using a multi-objective optimization approach
(Walter de Gruyter GmbHGermany, 2022)
Técnicas evolutivas en problemas multi-objetivos en el proceso de planificación de la producciónEvolutionary techniques for multi-objective problems in production planning
(Instituto Superior Politécnico "José Antonio Echeverría", 2012-01)
La planificación, en el ámbito productivo, se encarga de diseñar, coordinar, administrar y controlar todas las operaciones que se hallan presentes en la explotación de los sistemas productivos. En este marco de trabajo, ...
Topsis decision on approximate pareto fronts by using evolutionary algorithms: Application to an engineering design problem
(MDPI, 2020-11-20)
A common technique used to solve multi-objective optimization problems consists of first generating the set of all Pareto-optimal solutions and then ranking and/or choosing the most interesting solution for a human decision ...
Multicriteria optimization model for supply process problem under provision and demand uncertainty
(American Chemical Society, 2011-09)
Supply processes play an important role in customer satisfaction and company costs. The main characteristics of this problem are given by several decisions that follow a hierarchical structure and a very uncertain context, ...
Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant
(Universidade Federal de Santa Catarina, 2013-10)
This paper addresses the comparison between two techniques for the optimization under parametric uncertainty of multiproduct batch plants integrating design and production planning decisions. This problem has been conceived ...