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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 ...
A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm
(Elsevier, 2019-01)
Optimization via Simulation (OvS) is an useful optimization tool to find a solution to an optimization problem that is difficult to model analytically. OvS consists in evaluating potential solutions through simulation ...
Coordinated Tuning of a Group of Static Var Compensators Using Multi-Objective Genetic Algorithm
(Centro Latinoamericano de Estudios en Informática, 2011)
SC - system of convergence: theory and foundations
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2015)
Associative classification with multiobjective tabu search
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2020)
Generalization of the MOACS algorithm for Many Objectives: An application to motorcycle distribution
(Centro Latinoamericano de Estudios en Informática, 2015)
Clustering problems in a multiobjective framework
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2016)
An efficient metamodel-based method to carry out multi-objective building performance optimizations
(Elsevier Science SA, 2020-01)
Nowadays, performing multi-objective optimizations of actual building designs is one of the most challenging problems of the building energy efficiency area. This paper aims to propose an efficient method to solve ...
Investment portfolio optimization with transaction costs through a multiobjective genetic algorithm: an applied case to the Colombian Stock Exchange
(Universidad Icesi, 2018-01-01)
This paper discusses portfolio optimization by considering constraints imposed by financial markets and conditions of projects with excess liquidity, such as transaction costs, limited budget and short time planning horizons. ...
Explicit multiobjective evolutionary algorithms for flow shop scheduling with missing operations
(Springer, 2021-12-28)
The impact of Industry 4.0 on production systems has significantly enhanced personalized production services for products customization, implying that production processes end up being customized as well. In this scenario, ...