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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 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 ...
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 ...
Scheduling Projects by a Hybrid Evolutionary Algorithm with Self-Adaptive Processes
(Springer, 2015-11)
In this paper, we present a hybrid evolutionary algorithm with self-adaptive processes to solve a known project scheduling problem. This problem takes into consideration an optimization objective priority for project ...
Multi-objective evolutionary particle swarm optimization in the assessment of the impact of distributed generation
(Elsevier B.V. Sa, 2012-08-01)
This paper proposes a multi-objective approach to a distribution network planning process that deals with the challenges derived from the integration of Distributed Generation (DG). The proposal consists of a multi-objective ...
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation
(ElsevierNew York, 2014-02-10)
Decision tree induction algorithms represent one of the most popular techniques for dealing with classification problems. However, traditional decision-tree induction algorithms implement a greedy approach for node splitting ...
Multi Objective Evolutionary Algorithm Applied to the Optimal Power Flow Problem
(Institute of Electrical and Electronics Engineers (IEEE), 2010-06-01)
This work presents the application of a multiobjective evolutionary algorithm (MOEA) for optimal power flow (OPF) solution. The OPF is modeled as a constrained nonlinear optimization problem, non-convex of large-scale, ...
Comparison of Multiobjective Evolutionary Algorithms for operations scheduling under machine availability constraints
(Hindawi Publishing Corporation, 2013-12)
Many of the problems that arise in production systems can be handled with Multi-Objective techniques. One of those problems is that of scheduling operations subject to constraints on the availability of machines and buffer ...