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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 ...
Multiarea optimal power flow using multiobjective evolutionary algorithm
(2009-12-17)
In this work the multiarea optimal power flow (OPF) problem is decoupled into areas creating a set of regional OPF subproblems. The objective is to solve the optimal dispatch of active and reactive power for a determined ...
Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System
(Institute of Electrical and Electronics Engineers, 2019-12)
This paper proposes a novel metaheuristic framework using a Differential Evolution (DE) algorithm with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Both algorithms are combined employing a collaborative strategy ...
A Diversity-Adaptive Hybrid Evolutionary Algorithm to Solve a Project Scheduling Problem
(Springer, 2014-09)
In this paper, we address a project scheduling problem. This problem considers a priority optimization objective for project managers. This objective implies assigning the most effective set of human resources to each ...
A bi-objetive Cat Swarm Optimization algorithm for set covering problem
(Springer Verlag, 2016)
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 ...
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 ...
General subpopulation framework and taming the conflict inside populations
(MIT PressCambridge, Mass, 2015)
Structured evolutionary algorithms have been investigated for some time. However,
they have been under explored especially in the field of multi-objective optimization.
Despite good results, the use of complex dynamics ...
Hybrid Evolutionary Algorithm with Adaptive Crossover, Mutation and Simulated Annealing Processes to Project Scheduling
(Springer, 2015-09)
In this paper, we address a project scheduling problem that considers a priority optimization objective for project managers. This objective involves assigning the most effective set of human resources to each project ...